Model save
Browse files- README.md +78 -0
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +1655 -0
README.md
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| 1 |
+
---
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base_model: meta-llama/Meta-Llama-3-8B
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datasets:
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- generator
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library_name: peft
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license: llama3
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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: llama3-8b-summarize-gpt4o-128k
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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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# llama3-8b-summarize-gpt4o-128k
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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 generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.2606
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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: 0.0002
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- train_batch_size: 8
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- eval_batch_size: 4
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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: 2
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- total_train_batch_size: 128
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- total_eval_batch_size: 32
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.8176 | 0.9954 | 109 | 2.1150 |
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| 0.7464 | 2.0 | 219 | 2.1313 |
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| 0.7128 | 2.9954 | 328 | 2.1444 |
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| 0.6924 | 4.0 | 438 | 2.1631 |
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| 0.6777 | 4.9954 | 547 | 2.1823 |
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| 0.6526 | 6.0 | 657 | 2.2078 |
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| 0.6326 | 6.9954 | 766 | 2.2296 |
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| 0.6311 | 8.0 | 876 | 2.2485 |
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| 0.6233 | 8.9954 | 985 | 2.2587 |
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| 0.6194 | 9.9543 | 1090 | 2.2606 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.0
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- Pytorch 2.2.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 9.954337899543379,
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"total_flos": 6.456679991336763e+18,
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"train_loss": 0.7130365929472338,
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"train_runtime": 9668.9725,
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"train_samples": 129221,
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"train_samples_per_second": 14.452,
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"train_steps_per_second": 0.113
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}
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train_results.json
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{
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"epoch": 9.954337899543379,
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"total_flos": 6.456679991336763e+18,
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"train_loss": 0.7130365929472338,
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"train_runtime": 9668.9725,
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"train_samples": 129221,
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"train_samples_per_second": 14.452,
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"train_steps_per_second": 0.113
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}
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trainer_state.json
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