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Upload TFWhisperForConditionalGeneration
Browse files- README.md +66 -0
- config.json +64 -0
- generation_config.json +117 -0
- tf_model.h5 +3 -0
README.md
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---
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license: apache-2.0
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base_model: openai/whisper-tiny
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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_new_split_ch_08__0010
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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_new_split_ch_08__0010
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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: 2.8290
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- Train Accuracy: 0.0380
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- Train Wermet: 0.1529
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- Validation Loss: 2.8448
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- Validation Accuracy: 0.0369
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- Validation Wermet: 0.0515
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- Epoch: 9
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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 | Train Wermet | Validation Loss | Validation Accuracy | Validation Wermet | Epoch |
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|:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
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| 5.1494 | 0.0196 | 3.7403 | 4.3409 | 0.0256 | 0.7553 | 0 |
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| 4.0236 | 0.0274 | 0.6316 | 3.6960 | 0.0302 | 0.1658 | 1 |
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| 3.5216 | 0.0312 | 0.1467 | 3.3497 | 0.0311 | 0.0012 | 2 |
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| 3.2259 | 0.0330 | 0.0850 | 3.1532 | 0.0337 | 0.0023 | 3 |
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| 3.0948 | 0.0343 | 0.0859 | 3.0780 | 0.0341 | 0.0021 | 4 |
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| 3.0263 | 0.0346 | 0.0848 | 3.0221 | 0.0343 | 0.0019 | 5 |
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| 2.9743 | 0.0354 | 0.0865 | 2.9779 | 0.0347 | 0.0045 | 6 |
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| 2.9255 | 0.0361 | 0.0990 | 2.9337 | 0.0352 | 0.0174 | 7 |
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| 2.8788 | 0.0367 | 0.1068 | 2.8909 | 0.0365 | 0.0365 | 8 |
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| 2.8290 | 0.0380 | 0.1529 | 2.8448 | 0.0369 | 0.0515 | 9 |
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### Framework versions
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- Transformers 4.31.0
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- TensorFlow 2.13.0
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- Tokenizers 0.13.3
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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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"apply_spec_augment": false,
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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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],
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"bos_token_id": 50257,
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"classifier_proj_size": 256,
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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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"init_std": 0.02,
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"is_encoder_decoder": true,
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"mask_feature_length": 10,
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"mask_feature_min_masks": 0,
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"mask_feature_prob": 0.0,
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"mask_time_length": 10,
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"mask_time_min_masks": 2,
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"mask_time_prob": 0.05,
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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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"median_filter_width": 7,
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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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"torch_dtype": "float32",
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"transformers_version": "4.31.0",
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"use_cache": true,
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"use_weighted_layer_sum": false,
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"vocab_size": 51865
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}
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generation_config.json
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"max_length": 448,
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"transformers_version": "4.31.0"
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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 sha256:178fbd0531ac11052d90f5a05b271ef7d25811f934cb2e28954fabd05f8badc5
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size 151253960
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