Automatic Speech Recognition
Transformers
PyTorch
JAX
Oriya
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use anuragshas/wav2vec2-large-xlsr-53-odia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anuragshas/wav2vec2-large-xlsr-53-odia with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="anuragshas/wav2vec2-large-xlsr-53-odia")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("anuragshas/wav2vec2-large-xlsr-53-odia") model = AutoModelForCTC.from_pretrained("anuragshas/wav2vec2-large-xlsr-53-odia") - Notebooks
- Google Colab
- Kaggle
Commit ·
8d75135
1
Parent(s): 57975f2
model upload v1
Browse files- config.json +76 -0
- eval_results.json +12 -0
- preprocessor_config.json +8 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- vocab.json +1 -0
config.json
ADDED
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{
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"_name_or_path": "facebook/wav2vec2-large-xlsr-53",
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"activation_dropout": 0.1,
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"apply_spec_augment": true,
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"architectures": [
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"Wav2Vec2ForCTC"
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],
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"attention_dropout": 0.1,
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"bos_token_id": 1,
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"conv_bias": true,
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"conv_dim": [
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512,
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512,
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512,
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512,
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512,
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512,
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512
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],
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"conv_kernel": [
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10,
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3,
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3,
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3,
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3,
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2,
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2
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],
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"conv_stride": [
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5,
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2,
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2,
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2,
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2,
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2,
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2
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],
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"ctc_loss_reduction": "mean",
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"ctc_zero_infinity": false,
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"do_stable_layer_norm": true,
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"eos_token_id": 2,
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"feat_extract_activation": "gelu",
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"feat_extract_dropout": 0.0,
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"feat_extract_norm": "layer",
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"feat_proj_dropout": 0.0,
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"final_dropout": 0.0,
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"gradient_checkpointing": true,
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"hidden_act": "gelu",
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"hidden_dropout": 0.1,
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"layer_norm_eps": 1e-05,
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"layerdrop": 0.1,
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"mask_channel_length": 10,
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"mask_channel_min_space": 1,
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"mask_channel_other": 0.0,
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"mask_channel_prob": 0.0,
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"mask_channel_selection": "static",
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"mask_feature_length": 10,
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"mask_feature_prob": 0.0,
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"mask_time_length": 10,
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"mask_time_min_space": 1,
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"mask_time_other": 0.0,
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"mask_time_prob": 0.05,
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"mask_time_selection": "static",
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"model_type": "wav2vec2",
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"num_attention_heads": 16,
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"num_conv_pos_embedding_groups": 16,
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"num_conv_pos_embeddings": 128,
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"num_feat_extract_layers": 7,
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"num_hidden_layers": 24,
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"pad_token_id": 61,
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"transformers_version": "4.5.0.dev0",
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"vocab_size": 62
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}
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eval_results.json
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{
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"epoch": 199.94,
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"eval_loss": 1.0759512186050415,
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"eval_mem_cpu_alloc_delta": 12901181,
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"eval_mem_cpu_peaked_delta": 845619,
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"eval_mem_gpu_alloc_delta": 0,
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"eval_mem_gpu_peaked_delta": 1679536640,
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"eval_runtime": 4.9907,
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"eval_samples": 98,
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"eval_samples_per_second": 19.637,
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"eval_wer": 0.857916102841678
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}
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preprocessor_config.json
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{
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"do_normalize": true,
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"feature_size": 1,
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"padding_side": "right",
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"padding_value": 0.0,
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"return_attention_mask": true,
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"sampling_rate": 16000
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:f6226b196d9fcf107d2f6fee3df85a6df389e5813e8e617c997baab962532582
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size 1262188055
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special_tokens_map.json
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{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "[UNK]", "pad_token": "[PAD]"}
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tokenizer_config.json
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{"unk_token": "[UNK]", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "[PAD]", "do_lower_case": false, "word_delimiter_token": "|"}
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vocab.json
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{"ବ": 0, "ଜ": 1, "ଳ": 2, "ଉ": 3, "ଁ": 4, "ଅ": 5, "ଙ": 6, "ୂ": 7, "ଚ": 8, "ଥ": 9, "ା": 10, "ୈ": 11, "ଇ": 12, "ସ": 13, "ଛ": 14, "ଝ": 15, "ଟ": 16, "ଞ": 17, "ମ": 18, "ଲ": 19, "ଗ": 20, "କ": 21, "ୌ": 22, "େ": 23, "ଣ": 24, "ଡ": 25, "ଓ": 26, "ଷ": 27, "ଊ": 28, "ଘ": 29, "ଵ": 30, "ଖ": 31, "ୟ": 32, "ଠ": 33, "ଭ": 34, "ୃ": 35, "ତ": 36, "ଦ": 37, "ଧ": 38, "ହ": 39, "୍": 40, "ୋ": 41, "ୁ": 42, "ଫ": 43, "ଆ": 44, "ି": 45, "ୀ": 46, "ଈ": 47, "ଶ": 48, "ର": 49, "ପ": 50, "ନ": 51, "ଂ": 52, "଼": 53, "ଃ": 54, "ଯ": 55, "ଢ": 56, "ୱ": 57, "ଏ": 58, "|": 59, "[UNK]": 60, "[PAD]": 61}
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