Model save
Browse files- README.md +62 -0
- all_results.json +9 -0
- runs/Sep20_23-06-53_COE-CS-sv004/events.out.tfevents.1726873650.COE-CS-sv004.1316815.0 +2 -2
- train_results.json +9 -0
- trainer_state.json +798 -0
README.md
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+
---
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+
license: llama3
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+
library_name: peft
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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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base_model: meta-llama/Meta-Llama-3-8B
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| 9 |
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model-index:
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- name: llama3_preference
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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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# llama3_preference
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the None dataset.
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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: 1
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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: 2
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- total_train_batch_size: 64
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- total_eval_batch_size: 4
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1
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### Training results
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### Framework versions
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| 57 |
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- PEFT 0.11.1
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- Transformers 4.44.2
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- Pytorch 2.3.1+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 0.9990645463049579,
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"total_flos": 2.2276586722453094e+17,
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"train_loss": 1.1599709373734863,
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"train_runtime": 17757.3527,
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"train_samples": 98881,
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"train_samples_per_second": 1.925,
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"train_steps_per_second": 0.03
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}
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runs/Sep20_23-06-53_COE-CS-sv004/events.out.tfevents.1726873650.COE-CS-sv004.1316815.0
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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 sha256:0c5684e125ffa8e966296407789e4587e7c36446a960511bae4ea10838fb765d
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size 28255
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train_results.json
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{
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"epoch": 0.9990645463049579,
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"total_flos": 2.2276586722453094e+17,
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"train_loss": 1.1599709373734863,
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"train_runtime": 17757.3527,
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"train_samples": 98881,
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"train_samples_per_second": 1.925,
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"train_steps_per_second": 0.03
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}
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trainer_state.json
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