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Upload TFWhisperForConditionalGeneration
Browse files- README.md +69 -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_charsplit_new_0013
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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_charsplit_new_0013
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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: 0.1287
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- Train Accuracy: 0.0766
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- Train Wermet: 11.8509
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- Validation Loss: 0.3029
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- Validation Accuracy: 0.0759
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- Validation Wermet: 10.2042
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- Epoch: 12
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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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| 0.8733 | 0.0602 | 13.0686 | 0.6470 | 0.0676 | 11.4066 | 0 |
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| 0.5740 | 0.0666 | 12.7778 | 0.5113 | 0.0706 | 11.1022 | 1 |
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| 0.4553 | 0.0692 | 12.2404 | 0.4371 | 0.0723 | 10.9105 | 2 |
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| 0.3813 | 0.0708 | 11.9157 | 0.3935 | 0.0733 | 9.4615 | 3 |
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| 0.3292 | 0.0720 | 11.5732 | 0.3630 | 0.0740 | 9.9885 | 4 |
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| 0.2886 | 0.0729 | 11.5171 | 0.3403 | 0.0745 | 9.8042 | 5 |
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| 0.2561 | 0.0736 | 11.3173 | 0.3256 | 0.0749 | 9.9431 | 6 |
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| 0.2282 | 0.0743 | 11.7308 | 0.3159 | 0.0752 | 9.2086 | 7 |
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| 0.2036 | 0.0748 | 11.4503 | 0.3071 | 0.0754 | 9.5236 | 8 |
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| 0.1820 | 0.0754 | 11.7175 | 0.3005 | 0.0756 | 10.0755 | 9 |
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| 0.1628 | 0.0758 | 11.7056 | 0.2993 | 0.0757 | 9.9497 | 10 |
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| 0.1450 | 0.0762 | 11.7637 | 0.2971 | 0.0758 | 10.1481 | 11 |
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| 0.1287 | 0.0766 | 11.8509 | 0.3029 | 0.0759 | 10.2042 | 12 |
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### Framework versions
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- Transformers 4.32.0.dev0
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- TensorFlow 2.12.0
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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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50257
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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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],
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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": "4.32.0.dev0",
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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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"begin_suppress_tokens": [
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"eos_token_id": 50257,
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"forced_decoder_ids": [
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"max_length": 448,
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"pad_token_id": 50257,
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"transformers_version": "4.32.0.dev0"
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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 sha256:37ae142edda3a06b920312845389ef963b7a5b38bc26c2786a99ed654199baa1
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size 151253960
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