Model save
Browse files- README.md +63 -0
- generation_config.json +7 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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tags:
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- generated_from_trainer
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model-index:
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- name: pretrain_11_07_2025
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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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# pretrain_11_07_2025
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5383
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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: 0.0006
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- train_batch_size: 1024
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- eval_batch_size: 1024
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 100000
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:------:|:---------------:|
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| 0.5376 | 0.4546 | 100000 | 0.5493 |
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| 0.5315 | 0.9092 | 200000 | 0.5441 |
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| 0.5307 | 1.3639 | 300000 | 0.5422 |
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| 0.5282 | 1.8185 | 400000 | 0.5406 |
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| 0.5265 | 2.2731 | 500000 | 0.5393 |
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| 0.5248 | 2.7277 | 600000 | 0.5383 |
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### Framework versions
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- Transformers 4.51.1
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- Pytorch 2.6.0+cu124
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- Datasets 3.5.0
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- Tokenizers 0.21.1
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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": 3,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.51.1"
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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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size 340527736
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version https://git-lfs.github.com/spec/v1
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oid sha256:b38ed31d5646a208b8f4eb30d29d071fb40cc5dd978134b52fcb3a405901567b
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size 340527736
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