todeschini
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Commit
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Model save
Browse files- README.md +87 -0
- events.out.tfevents.1727977236.c92cc42d6aa0.4220.0 +2 -2
- generation_config.json +249 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: openai/whisper-large-v3-turbo
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tags:
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- generated_from_trainer
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datasets:
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- common_voice_17_0
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metrics:
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- wer
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model-index:
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- name: whisper-finetuned-fullsample-v1
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: common_voice_17_0
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type: common_voice_17_0
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config: pt
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split: None
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args: pt
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metrics:
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- name: Wer
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type: wer
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value: 11.31198430186737
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# whisper-finetuned-fullsample-v1
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This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the common_voice_17_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3719
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- Wer: 11.3120
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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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- learning_rate: 1e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 256
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- total_eval_batch_size: 32
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 600
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- training_steps: 6000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-------:|:----:|:---------------:|:-------:|
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| 0.0094 | 8.1384 | 1000 | 0.2714 | 24.2485 |
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| 0.0008 | 16.2767 | 2000 | 0.3292 | 25.8955 |
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| 0.0011 | 24.4151 | 3000 | 0.3289 | 12.6679 |
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| 0.0003 | 32.5534 | 4000 | 0.3546 | 12.0631 |
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| 0.0015 | 40.6918 | 5000 | 0.3405 | 12.0647 |
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| 0.0002 | 48.8301 | 6000 | 0.3719 | 11.3120 |
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### Framework versions
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- Transformers 4.46.0.dev0
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- Pytorch 2.4.1+cu124
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- Datasets 3.0.2.dev0
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- Tokenizers 0.20.0
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events.out.tfevents.1727977236.c92cc42d6aa0.4220.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:e7fed446dde9f8d585b07360cd34776a0d95e8ce93adf14e214d9ab0248a82e0
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size 58832
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generation_config.json
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|
234 |
+
47425,
|
235 |
+
49870,
|
236 |
+
50254,
|
237 |
+
50258,
|
238 |
+
50359,
|
239 |
+
50360,
|
240 |
+
50361,
|
241 |
+
50362,
|
242 |
+
50363
|
243 |
+
],
|
244 |
+
"task_to_id": {
|
245 |
+
"transcribe": 50360,
|
246 |
+
"translate": 50359
|
247 |
+
},
|
248 |
+
"transformers_version": "4.46.0.dev0"
|
249 |
+
}
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 3235581408
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ec207305490ec643665ab86cfc0dbf68ccef975b06aade8a48c9e2cab59918ac
|
3 |
size 3235581408
|