aes_sft
Browse files- README.md +64 -0
- generation_config.json +9 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: llama3.2
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base_model: meta-llama/Llama-3.2-1B
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: model_output_e10
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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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# model_output_e10
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This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.1035
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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: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use 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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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 2.1363 | 0.0954 | 500 | 2.1193 |
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| 1.7864 | 0.1908 | 1000 | 2.1035 |
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| 1.5126 | 0.2862 | 1500 | 2.1698 |
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| 1.2379 | 0.3815 | 2000 | 2.2744 |
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| 0.9729 | 0.4769 | 2500 | 2.3314 |
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### Framework versions
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- Transformers 4.46.3
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- Pytorch 2.3.0
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- Datasets 2.14.4
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- Tokenizers 0.20.3
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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": 128000,
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"do_sample": true,
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"eos_token_id": 128001,
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "4.46.3"
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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 4943274328
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version https://git-lfs.github.com/spec/v1
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oid sha256:b5f783fd231c751685d92fa1fefa378db542c225852cbf0084eddc14eb2f39f5
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size 4943274328
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