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qgallouedec
2025-01-08T14:38:01
Maye we can add a comment here so that we don't revert the reversion in the future ;)
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August-murr
2024-12-28T06:35:20
I recommend using GitHub Actions since they run the tests more reliably. Just enable it on your fork, push your changes, and it’ll automatically trigger the tests.
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AMindToThink
2024-12-28T19:48:24
Does this mean that my environment is not set up incorrectly?
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AMindToThink
2024-12-29T03:05:06
Thank you, took a while to figure out, but the tests that were triggered when I made an empty .py file in trl/trl worked. Somewhat bothersome that it tries and fails to post the results to slack, but the tests themselves pass. `Error: Need to provide at least one botToken or webhookUrl` I would appreciate if the [...
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qgallouedec
2024-12-29T10:19:28
Which tests fail locally?
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AMindToThink
2024-12-30T19:00:10
Oddly, it says 6 failed when I only see 5. I'm on this commit: `commit aed5da580e9fcba6517460daf65106bc42fb6167 (upstream/main, origin/sac, sac) Author: Quentin Gallouédec <45557362+qgallouedec@users.noreply.github.com> Date: Sun Dec 22 12:44:07 2024 +0100` ` 📦 Packing documentation (#2503)` These ar...
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umbilnm
2024-12-27T09:11:21
Fixes #2400
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umbilnm
2024-12-29T13:33:30
@qgallouedec Hello, can you merge? or something else needed from me?
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HuggingFaceDocBuilderDev
2025-01-08T14:38:13
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/trl/pr_2521). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.
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HuggingFaceDocBuilderDev
2024-12-26T19:07:53
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/trl/pr_2520). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.
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qgallouedec
2025-01-07T19:20:37
## Regression test: ```python from datasets import load_dataset from transformers import AutoModelForCausalLM, AutoTokenizer from trl import DPOConfig, DPOTrainer import torch model_id = "Qwen/Qwen2-0.5B-Instruct" model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.bfloat16, attn_impleme...
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oliveiraeliel
2024-12-28T02:19:22
Hi, I have the same question as you do. I think that there must be some easy way to simply write a reward function as a `nn.Module`, so we don't have to refactor anything, but I didn't tried it yet. But I also think that `PPOTrainer` should accept a `custom_get_reward_function` as an optional parameter. In this c...
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nityadav
2024-12-29T19:24:39
@yananchen1989 Thanks for posting this as I was stuck with a similar issue (but for `OnlineDPOTrainer`). The easiest workaround for me was to subclass the trainer class (`OnlineDPOTrainer`) and override the `training_step` with my custom `get_reward` logic, and rest of the implementation being the same as in the origin...
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August-murr
2024-12-30T18:28:29
@yananchen1989 @oliveiraeliel @nityadav @hwhyyds @schmidtj3 This has been a recurring question, so before implementing a solution, I would like to ask you all for examples of when you would need this feature so that we can think of a good solution.
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yananchen1989
2024-12-30T18:51:22
correct me if i am wrong. would like to know the primary motivation to rewrite the dpo from older version to current trainer unified version. maybe for better efficiency ? i understand that recent TRL versions wants to unify the pipeline in a more neat and organized manner across these different RL methods, where ...
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August-murr
2024-12-31T06:52:17
Ultimately, TRL is a Hugging Face library built on top of Transformers and is part of the Hugging Face ecosystem. If the Trainer does limit flexibility, then Transformers will need to adapt; otherwise, we will have to maintain a much larger and more complex codebase. We'll come up with a way to add these features an...
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August-murr
2024-12-31T06:52:44
@qgallouedec, do you want to comment?
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qgallouedec
2024-12-31T07:30:41
Maybe having a `reward_func` arg of type `Callable` is an option. Alternatively, releasing the type of `reward_model` to accept any `Callable` is also an option. But given that a custom reward func won't return the same type/shape as proper `reward_model` I'm a bit afraid that it would require overcomplicated logic. ...
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yananchen1989
2024-12-31T12:57:59
i hear u. thanks
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qgallouedec
2025-01-07T09:22:08
So we were wrong in https://github.com/huggingface/trl/pull/2433?
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dawidm
2025-01-07T12:51:04
> So we were wrong in #2433? Yes, it looks like it. I'm not sure why it seemed to work.
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dawidm
2024-12-27T20:40:20
Update: this approach (PR #2516) introduce another problem, because incrementing `self.state.global_step` by more than 1 needs parameters like `logging_steps` be divisible by the value of the increment. Solutions for this are: 1. Require `logging_steps` etc. to be divisible by `args.num_mini_batches * args.num_ppo_epo...
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dawidm
2024-12-29T13:12:02
Of course there's also 3. solution: update `global_step` after actual optimizer step (inside minibatch PPO loop), but also logging should have been moved here in this case. This will keep the most "correct" (i think) convention of steps but it requires the most changes.
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qgallouedec
2025-01-08T14:11:41
Yes 2. make probably more sense
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dawidm
2025-01-08T19:49:36
Sorry, I made a mistake saying that 2. will make `step` equivalent of `episode`. Same for my PR #2531. But apart from this, both PRs are still valid and fix what they are supposed to. I've updated PR for this issue and this is how it looks with both PRs: PPO and RLOO follow the same convention for `steps` (not affec...
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SwayamInSync
2024-12-21T19:58:52
This accounted with `SFTTrainer` if this is a general issue with `Trainer` from transformers, can be re-located there
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HuggingFaceDocBuilderDev
2024-12-21T12:12:26
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/trl/pr_2513). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.
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HuggingFaceDocBuilderDev
2024-12-21T00:10:35
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/trl/pr_2512). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.
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HuggingFaceDocBuilderDev
2024-12-20T23:42:15
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/trl/pr_2511). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.
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HuggingFaceDocBuilderDev
2024-12-20T21:43:27
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/trl/pr_2510). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.
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HuggingFaceDocBuilderDev
2024-12-20T16:10:32
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/trl/pr_2509). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.
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metric-space
2024-12-21T21:30:33
@aivolcano There is a notebook that is related to this. The updated notebook is here: https://github.com/huggingface/trl/blob/main/examples/notebooks/best_of_n.ipynb
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aivolcano
2024-12-27T08:53:25
thank u so much
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HuggingFaceDocBuilderDev
2024-12-20T11:30:43
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/trl/pr_2507). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.
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Mecoli1219
2024-12-20T06:46:11
Wait for https://github.com/linkedin/Liger-Kernel/pull/492
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HuggingFaceDocBuilderDev
2025-01-03T16:00:20
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/trl/pr_2506). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.
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kashif
2025-01-03T19:54:41
needs: https://github.com/linkedin/Liger-Kernel/pull/510
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metric-space
2024-12-21T21:33:11
@nguyenhoa-uit I can help out with this as this was code I wrote more than a year ago. Mind you, I'll be very very slow. Let me take a look
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metric-space
2024-12-23T09:46:31
@nguyenhoa-uit could you try this bit : https://github.com/huggingface/trl/blob/main/trl/trainer/ddpo_config.py#L64 ?
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nguyenhoa-uit
2024-12-25T02:18:37
> @nguyenhoa-uit could you try this bit : https://github.com/huggingface/trl/blob/main/trl/trainer/ddpo_config.py#L64 ? When I used checkpoint resume from in config file, I ran and had a bug at https://github.com/huggingface/trl/blob/main/trl/trainer/ddpo_trainer.py#L541C20-L541C42 When I passed with try catch, it ...
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ggbetz
2024-12-20T15:19:13
It seems @philschmid has in implementation here: https://github.com/philschmid/deep-learning-pytorch-huggingface/blob/391f19ba06c128a2a290b3bdcb717ad6ff794fd7/training/scripts/run_sft.py#L54-L77 and the question is maybe just what's the best cleanest way to integrate this natively in trl?
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anakin87
2024-12-21T16:25:29
This would be great and would prevent users from making mistakes in the manual implementation of this method: for example, [the code for integration with other libraries reported in the official repo](https://github.com/cognitivecomputations/spectrum?tab=readme-ov-file) has some problems. In contrast, the simple implem...
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HuggingFaceDocBuilderDev
2024-12-19T10:50:45
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/trl/pr_2503). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.
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HuggingFaceDocBuilderDev
2024-12-19T10:13:19
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/trl/pr_2502). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.
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qgallouedec
2024-12-23T12:38:06
Can you screenshot a result?
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HuggingFaceDocBuilderDev
2024-12-23T12:41:22
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/trl/pr_2501). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.
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yaricom
2024-12-23T12:43:48
Sure, here is s screenshot from my account at Comet. <img width="2106" alt="Screenshot 2024-12-23 at 14 42 20" src="https://github.com/user-attachments/assets/69629fdb-77de-4a2d-b1d2-087889d96a4c" />
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yaricom
2024-12-23T12:45:02
And this is a DataFrame encoded as CSV. [game_log.csv](https://github.com/user-attachments/files/18229453/game_log.csv)
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yaricom
2024-12-23T13:08:10
The script I was using to test DPO trainer integration. ```python import os from datasets import load_dataset from transformers import AutoModelForCausalLM, AutoTokenizer from trl import DPOConfig, DPOTrainer os.environ["TOKENIZERS_PARALLELISM"] = "false" def main(): output_dir = "models/minimal...
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asparius
2024-12-18T13:50:40
trl uses accelerate which supports FSDP. However there is no recommeded config of FSDP in the repo unlike DeepSpeed, so you could refer to this [page](https://huggingface.co/docs/accelerate/en/usage_guides/fsdp) for FSDP. All in all, DPO and trl supports FSDP but not for online algo like PPO #1726.
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yingtongxiong
2024-12-19T05:57:01
> trl uses accelerate which supports FSDP. However there is no recommeded config of FSDP in the repo unlike DeepSpeed, so you could refer to this [page](https://huggingface.co/docs/accelerate/en/usage_guides/fsdp) for FSDP. All in all, DPO and trl supports FSDP but not for online algo like PPO #1726. @asparius Thank...
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HuggingFaceDocBuilderDev
2024-12-17T23:16:28
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/trl/pr_2499). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.
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HuggingFaceDocBuilderDev
2024-12-17T19:12:30
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/trl/pr_2498). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.
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qgallouedec
2024-12-17T22:30:39
Yeah! thanks @sergiopaniego 🤘
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asparius
2024-12-18T14:14:35
This has been noted previously #2281. I believe this was introduced in PPOv2 which was replication of the openai tldr paper which also contains this INVALID_LOGPROB=1.0 which does not break training because it cancels out at kl reward. Perhaps @vwxyzjn can tell why this was used, instead of masked_mean version
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Mecoli1219
2024-12-20T05:30:02
Hi, I want to check that SimPO is in CPO instead of DPO, right?
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qgallouedec
2024-12-20T11:01:35
> Hi, I want to check that SimPO is in CPO instead of DPO, right? Correct! Message modified
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HuggingFaceDocBuilderDev
2024-12-17T08:16:37
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/trl/pr_2494). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.
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qgallouedec
2024-12-17T11:19:51
Probably simpler: ```python from huggingface_hub import ModelCard model_card = ModelCard(""" --- tags: [trl] --- # Some title """) if script_args.push_to_hub: model_card.push_to_hub(script_args.repo_id, repo_type="dataset") ```
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August-murr
2024-12-17T12:15:50
Well, that's one way to overengineer it I also opened [issue on datasets](https://github.com/huggingface/datasets/issues/7336) to clarify. I assume the next step is to add this to all the dataset scripts.
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qgallouedec
2024-12-17T13:14:11
Very good like this
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HuggingFaceDocBuilderDev
2024-12-25T17:41:32
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/trl/pr_2491). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.
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August-murr
2024-12-29T14:01:58
it doesn't add all the details requested in the issue #2470 but It's an improvement
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qgallouedec
2024-12-16T12:14:28
Thanks for reporting, please provide a *minimal* code/steps to reproduce this.
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sagie-dekel
2024-12-16T12:48:53
pipeline.zip (edit by maintainer: remove link) thanks @qgallouedec The attached files constitute a pipeline that using the DPOTrainer with DeepSpeed. I am sorry that its ain't minimal but i don't see easy way to reproduce. if you prefer I can write the main steps.
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qgallouedec
2024-12-16T13:52:12
Sorry but we don't use zip files. The easy way to provide a MRE is to go line by line, if the error remains when you remove it, then you can discard the line. When there is no line left to remove, you have your MRE
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qgallouedec
2024-12-16T11:04:09
Good point, given that for other trainers (like DPO), it's a truncation. In fact, the best thing would be to have a common behavior for all trainers (truncation), but the urgent thing is to clarify the documentation.
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HuggingFaceDocBuilderDev
2024-12-16T09:16:23
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/trl/pr_2487). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.
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Ciao-CA
2024-12-20T07:32:59
I have the same problem
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karlcuinju
2025-01-02T03:11:41
Any solution now?
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HuggingFaceDocBuilderDev
2024-12-15T19:39:31
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/trl/pr_2485). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.
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HuggingFaceDocBuilderDev
2024-12-15T18:22:29
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/trl/pr_2484). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.
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HuggingFaceDocBuilderDev
2024-12-15T16:35:22
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/trl/pr_2483). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.
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HuggingFaceDocBuilderDev
2024-12-15T12:58:48
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/trl/pr_2482). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.
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qgallouedec
2024-12-15T15:34:21
2 questions/remarks: - can you run benchmark so that we can (1) quantify the improvement and (2) check that results with and without liger are the same - we could have an additional tag for the hub when a model is trained with liger
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qgallouedec
2024-12-15T15:48:46
I think we should bump liger version to v0.5 (it doesn't include the loss before), see https://github.com/linkedin/Liger-Kernel/releases/tag/v0.5.0
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kashif
2024-12-18T10:46:56
waiting on https://github.com/linkedin/Liger-Kernel/pull/486
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kashif
2024-12-19T10:09:55
waiting on https://github.com/huggingface/trl/pull/2502
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qgallouedec
2024-12-19T10:33:44
@kashif can you share the curves once it's ready?
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kashif
2024-12-29T14:45:28
tests fail as they need: https://github.com/linkedin/Liger-Kernel/pull/503
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kashif
2024-12-15T09:31:55
@hteague-qti so I wanted to get it working with this collator and then come back and make it more general after that.. so would you have a suggestion on what the next generalization could be? make it work for the SFT default collator?
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hteague-qti
2024-12-16T19:28:17
I was thinking it could be made completely independent of the collator. First thing might be to warn users that even though they are providing a collator in the args, you are switching to a different one (for now). Seems to me that trainer should not care about the data preprocessing or the collator, just the out...
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hteague-qti
2024-12-19T21:39:17
btw, appreciate the response.
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HuggingFaceDocBuilderDev
2024-12-14T21:45:10
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/trl/pr_2480). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.
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August-murr
2024-12-14T18:57:56
Before adding it to all the trainers, what do you think of the overall structure? Is it okay to include the tools in each trainer configuration?
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qgallouedec
2024-12-14T19:05:11
Thanks for this addition! Let's keep things as separate as possible, and keep this PR for DPO only. The code as is looks good to me. The only question is: can this type (`Optional[list[Union[dict, Callable]]]`) being parsed. I'll try.
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qgallouedec
2024-12-14T19:27:17
That's why I thought: ```python from trl import DPOConfig, TrlParser parser = TrlParser((DPOConfig,)) parser.parse_args_and_config() ``` ``` $ python 2479.py --output_dir out --tools "{'type': 'function', 'function': {'name': 'multiply', 'description': 'A function that multiplies two numbers', 'parameters'...
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August-murr
2024-12-15T08:51:45
> Let's keep things as separate as possible, and keep this PR for DPO only. a different PR for each trainer then? > can this type `(Optional[list[Union[dict, Callable]]])` being parsed. Adding tools to the CLI would be quite complicated. It wouldn't be practical to add all the tools into the CLI. My best guess...
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August-murr
2024-12-16T08:22:54
does this need anything else? test or docs?
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August-murr
2024-12-25T13:16:53
I also wanted to add it to `SFTTrainer` but it doesn't use `maybe_apply_chat_template`
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HuggingFaceDocBuilderDev
2024-12-13T20:46:51
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/trl/pr_2476). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.
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HuggingFaceDocBuilderDev
2024-12-13T19:02:02
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/trl/pr_2475). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.
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HuggingFaceDocBuilderDev
2024-12-13T17:43:29
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/trl/pr_2474). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.
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qgallouedec
2025-01-07T10:19:07
I realized that the problem was in fact not only confined to DPO but also to other trainers. So I thought twice about the approach, and I think the right solution is actually to gather at the time these metrics are calculated. It's the most logical and it's what's done in the other trainers. Thanks for spotting on th...
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kashif
2025-01-07T10:24:55
@zhc7 accelerate has a dedicated helper for metrics: https://huggingface.co/docs/accelerate/en/package_reference/accelerator#accelerate.Accelerator.gather_for_metrics which is what is recommended to be used
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qgallouedec
2025-01-07T13:46:31
Valid point! thanks @kashif. I generalised `gather_for_metrics` in 17383f9
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asparius
2024-12-14T00:28:52
It utilizes `self.model`, which is defined in [[this line](https://github.com/huggingface/trl/blob/6d4ed070f1f53a87fb3cff2eb82a56db093bccc6/trl/trainer/rloo_trainer.py#L162)](https://github.com/huggingface/trl/blob/6d4ed070f1f53a87fb3cff2eb82a56db093bccc6/trl/trainer/rloo_trainer.py#L162). This approach is also adopted...
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qgallouedec
2024-12-13T16:33:05
Yes, that's a good point! All datasets in [hf.co/trl-lib](https://huggingface.co/trl-lib) are taken from an original dataset. We should at least indicate this dataset in the readme with something like: ``` This dataset is a processed version of [openbmb/UltraFeedback](https://huggingface.co/datasets/openbmb/Ul...
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qgallouedec
2024-12-13T16:44:51
What you're describing sounds closer to _padding-free_ than packing. We have a (currently draft) PR for this: #2437. Can you confirm that's it is what you're describing? --- At this point I'm not even sure that packing for DPO makes sense. How to ensure that you've as many chosen than rejected? How to ensure the...
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zhc7
2024-12-13T17:16:15
Hi, thank you for your response. I looked into the link you provided. I think we are talking about the same thing. I used the word "packing" from https://huggingface.co/blog/packing-with-FA2. The "packing" here actually means concatenating a fixed batch size of samples into one sequence, and use `position_ids` to mark ...
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