Model save
Browse files- README.md +59 -0
- all_results.json +9 -0
- generation_config.json +12 -0
- train_results.json +9 -0
- trainer_state.json +732 -0
README.md
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---
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library_name: transformers
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tags:
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- trl
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- simpo
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- generated_from_trainer
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model-index:
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- name: llama-8b-instruct-simpo-full
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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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# llama-8b-instruct-simpo-full
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This model was trained from scratch on an unknown 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-06
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 256
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- total_eval_batch_size: 16
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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: 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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- Transformers 4.46.3
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- Pytorch 2.7.1+cu126
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- Datasets 4.0.0
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- Tokenizers 0.20.3
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all_results.json
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{
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"epoch": 0.9959925193694897,
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"total_flos": 0.0,
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"train_loss": 1.2805403189597724,
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"train_runtime": 5384.1773,
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"train_samples": 59876,
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"train_samples_per_second": 11.121,
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"train_steps_per_second": 0.043
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}
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generation_config.json
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{
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"bos_token_id": 128000,
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"do_sample": true,
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"eos_token_id": [
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128001,
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128009
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],
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"max_length": 4096,
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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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train_results.json
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{
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"epoch": 0.9959925193694897,
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"total_flos": 0.0,
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"train_loss": 1.2805403189597724,
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"train_runtime": 5384.1773,
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"train_samples": 59876,
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"train_samples_per_second": 11.121,
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"train_steps_per_second": 0.043
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}
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trainer_state.json
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