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Upload TFWhisperForConditionalGeneration
Browse files- README.md +74 -0
- config.json +199 -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_havest_0020
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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_havest_0020
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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: 0.1785
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- Train Accuracy: 0.0334
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- Validation Loss: 0.5522
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- Validation Accuracy: 0.0314
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- Epoch: 19
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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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| 5.0949 | 0.0116 | 4.4444 | 0.0124 | 0 |
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| 4.3242 | 0.0130 | 4.0648 | 0.0140 | 1 |
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| 3.9308 | 0.0145 | 3.6837 | 0.0157 | 2 |
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| 3.5552 | 0.0159 | 3.3410 | 0.0171 | 3 |
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| 3.1591 | 0.0175 | 2.8089 | 0.0198 | 4 |
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| 2.2408 | 0.0221 | 1.7104 | 0.0255 | 5 |
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| 1.4220 | 0.0261 | 1.2181 | 0.0279 | 6 |
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| 1.0460 | 0.0280 | 0.9912 | 0.0290 | 7 |
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| 0.8363 | 0.0291 | 0.8645 | 0.0296 | 8 |
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| 0.6967 | 0.0299 | 0.7748 | 0.0301 | 9 |
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| 0.5942 | 0.0305 | 0.7201 | 0.0304 | 10 |
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| 0.5151 | 0.0309 | 0.6675 | 0.0307 | 11 |
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| 0.4496 | 0.0314 | 0.6382 | 0.0308 | 12 |
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| 0.3951 | 0.0318 | 0.6060 | 0.0310 | 13 |
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| 0.3473 | 0.0321 | 0.5945 | 0.0311 | 14 |
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| 0.3053 | 0.0324 | 0.5752 | 0.0312 | 15 |
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| 0.2684 | 0.0327 | 0.5700 | 0.0313 | 16 |
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| 0.2355 | 0.0330 | 0.5651 | 0.0313 | 17 |
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| 0.2065 | 0.0332 | 0.5619 | 0.0313 | 18 |
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| 0.1785 | 0.0334 | 0.5522 | 0.0314 | 19 |
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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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"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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"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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}
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:21f6bddb95988b793e797dcd66caa04fa053fac47c50591ba6908e745f5e2972
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size 151253984
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