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Push causal_lm fine-tuned model

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: distilbert/distilgpt2
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: clinical-field-mapper-causal_lm
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # clinical-field-mapper-causal_lm
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+
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+ This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.3024
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0005
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+ - train_batch_size: 512
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+ - eval_batch_size: 512
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.01
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+ - num_epochs: 50
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 4.6392 | 1.0 | 18 | 2.9288 |
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+ | 2.3569 | 2.0 | 36 | 1.9619 |
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+ | 1.7105 | 3.0 | 54 | 1.5913 |
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+ | 1.4199 | 4.0 | 72 | 1.4203 |
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+ | 1.2469 | 5.0 | 90 | 1.3159 |
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+ | 1.123 | 6.0 | 108 | 1.2572 |
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+ | 1.0141 | 7.0 | 126 | 1.2205 |
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+ | 0.9293 | 8.0 | 144 | 1.2082 |
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+ | 0.8509 | 9.0 | 162 | 1.1981 |
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+ | 0.7871 | 10.0 | 180 | 1.2031 |
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+ | 0.7247 | 11.0 | 198 | 1.2318 |
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+ | 0.6746 | 12.0 | 216 | 1.2432 |
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+ | 0.6238 | 13.0 | 234 | 1.2737 |
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+ | 0.5803 | 14.0 | 252 | 1.3024 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.51.3
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 3.5.1
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+ - Tokenizers 0.21.1
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