Model save
Browse files- README.md +71 -0
- generation_config.json +6 -0
- model.safetensors +1 -1
README.md
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---
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: stage2
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results: []
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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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# stage2
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3246
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- Accuracy: 0.8954
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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: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 1
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- distributed_type: multi-GPU
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- num_devices: 5
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- total_train_batch_size: 80
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- total_eval_batch_size: 80
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:------:|:---------------:|:--------:|
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| 0.3608 | 1.0 | 43075 | 0.3509 | 0.8883 |
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| 0.3495 | 2.0 | 86150 | 0.3408 | 0.8910 |
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| 0.3435 | 3.0 | 129225 | 0.3355 | 0.8925 |
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| 0.3394 | 4.0 | 172300 | 0.3322 | 0.8933 |
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| 0.3367 | 5.0 | 215375 | 0.3298 | 0.8940 |
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| 0.3343 | 6.0 | 258450 | 0.3279 | 0.8945 |
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| 0.3326 | 7.0 | 301525 | 0.3267 | 0.8948 |
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| 0.3311 | 8.0 | 344600 | 0.3256 | 0.8951 |
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| 0.33 | 9.0 | 387675 | 0.3249 | 0.8953 |
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| 0.3296 | 10.0 | 430750 | 0.3246 | 0.8954 |
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### Framework versions
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- Transformers 4.38.0.dev0
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- Pytorch 2.2.0+cu121
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- Datasets 2.17.0
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- Tokenizers 0.15.2
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 50256,
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"eos_token_id": 50256,
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"transformers_version": "4.38.0.dev0"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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version https://git-lfs.github.com/spec/v1
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size 497774208
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