Commit ·
0a1feab
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Parent(s): a24f66f
Upload TFWhisperForConditionalGeneration
Browse files- README.md +79 -0
- config.json +144 -0
- tf_model.h5 +3 -0
README.md
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---
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license: apache-2.0
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tags:
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- generated_from_keras_callback
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model-index:
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- name: whisper_final_09
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# whisper_final_09
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.0816
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- Train Accuracy: 0.0343
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- Validation Loss: 0.5877
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- Validation Accuracy: 0.0313
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- Epoch: 24
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
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- training_precision: float32
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### Training results
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| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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| 5.0832 | 0.0116 | 4.4298 | 0.0124 | 0 |
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| 4.3130 | 0.0131 | 4.0733 | 0.0141 | 1 |
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| 3.9211 | 0.0146 | 3.6762 | 0.0157 | 2 |
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| 3.5505 | 0.0159 | 3.3453 | 0.0171 | 3 |
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| 3.1592 | 0.0175 | 2.8062 | 0.0199 | 4 |
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| 2.2581 | 0.0220 | 1.7622 | 0.0252 | 5 |
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| 1.4671 | 0.0259 | 1.2711 | 0.0276 | 6 |
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| 1.0779 | 0.0278 | 1.0220 | 0.0288 | 7 |
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| 0.8591 | 0.0290 | 0.8836 | 0.0295 | 8 |
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| 0.7159 | 0.0297 | 0.7918 | 0.0300 | 9 |
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| 0.6105 | 0.0304 | 0.7276 | 0.0303 | 10 |
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| 0.5287 | 0.0309 | 0.6850 | 0.0306 | 11 |
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| 0.4614 | 0.0313 | 0.6472 | 0.0308 | 12 |
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| 0.4049 | 0.0317 | 0.6199 | 0.0310 | 13 |
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| 0.3562 | 0.0320 | 0.6019 | 0.0311 | 14 |
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| 0.3139 | 0.0324 | 0.5868 | 0.0311 | 15 |
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| 0.2766 | 0.0326 | 0.5751 | 0.0312 | 16 |
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| 0.2438 | 0.0329 | 0.5701 | 0.0312 | 17 |
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| 0.2116 | 0.0332 | 0.5686 | 0.0313 | 18 |
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| 0.1844 | 0.0334 | 0.5619 | 0.0313 | 19 |
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| 0.1593 | 0.0336 | 0.5710 | 0.0313 | 20 |
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| 0.1363 | 0.0338 | 0.5656 | 0.0314 | 21 |
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| 0.1160 | 0.0340 | 0.5763 | 0.0313 | 22 |
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| 0.0981 | 0.0341 | 0.5806 | 0.0313 | 23 |
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| 0.0816 | 0.0343 | 0.5877 | 0.0313 | 24 |
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### Framework versions
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- Transformers 4.25.0.dev0
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- TensorFlow 2.9.2
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- Datasets 2.6.1
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- Tokenizers 0.13.2
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config.json
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{
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"_name_or_path": "openai/whisper-tiny",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"architectures": [
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"WhisperForConditionalGeneration"
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],
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"attention_dropout": 0.0,
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"begin_suppress_tokens": [
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220,
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50257
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],
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"bos_token_id": 50257,
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"d_model": 384,
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"decoder_attention_heads": 6,
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"decoder_ffn_dim": 1536,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 4,
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"decoder_start_token_id": 50258,
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"dropout": 0.0,
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"encoder_attention_heads": 6,
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"encoder_ffn_dim": 1536,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 4,
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"eos_token_id": 50257,
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"forced_decoder_ids": [
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[
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]
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],
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"init_std": 0.02,
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"is_encoder_decoder": true,
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"max_length": 448,
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"max_source_positions": 1500,
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"max_target_positions": 448,
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"model_type": "whisper",
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"num_hidden_layers": 4,
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"num_mel_bins": 80,
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"pad_token_id": 50257,
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"scale_embedding": false,
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"suppress_tokens": [
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],
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"torch_dtype": "float32",
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"transformers_version": "4.25.0.dev0",
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"use_cache": true,
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"vocab_size": 51865
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}
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:18a596a52d36424c6e42fa49368ee2b1f7917115c6e99880ea9c28f1cc75c705
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size 151253984
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