sedrickkeh
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Model save
Browse files- README.md +68 -0
- generation_config.json +9 -0
- training_args.bin +1 -1
README.md
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---
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library_name: transformers
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license: llama3.1
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base_model: meta-llama/Llama-3.1-8B
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tags:
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- llama-factory
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- generated_from_trainer
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model-index:
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- name: OH_DCFT_V3_wo_cot_alpaca
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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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# OH_DCFT_V3_wo_cot_alpaca
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This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6369
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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-06
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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: 16
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 512
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- total_eval_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.1
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- lr_scheduler_warmup_steps: 1738
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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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| 0.6443 | 0.9982 | 418 | 0.6460 |
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| 0.6046 | 1.9988 | 837 | 0.6354 |
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| 0.5716 | 2.9946 | 1254 | 0.6369 |
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### Framework versions
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- Transformers 4.45.2
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- Pytorch 2.3.0
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- Datasets 2.21.0
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- Tokenizers 0.20.2
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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": 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": "4.45.2"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 7160
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version https://git-lfs.github.com/spec/v1
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oid sha256:605263edb93aa7e24a0ed24c5323a70b98d591e74c94b578af06b1829159f74c
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size 7160
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