Model save
Browse files
README.md
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| 1 |
+
---
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| 2 |
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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-classification-gpt4o-100k2
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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-classification-gpt4o-100k2
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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: 1.8048
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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: 4
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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: 4
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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- total_eval_batch_size: 8
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.4428 | 0.9978 | 225 | 1.7488 |
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| 1.3593 | 2.0 | 451 | 1.7692 |
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| 1.3157 | 2.9978 | 676 | 1.7700 |
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| 1.2688 | 4.0 | 902 | 1.7925 |
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| 1.2699 | 4.9889 | 1125 | 1.8048 |
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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 2.4.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 54560368
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version https://git-lfs.github.com/spec/v1
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oid sha256:ec9c1d1baabbcf8f69bd9e14a16dc747797d848754c3078e21b435fbcdc18156
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size 54560368
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all_results.json
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{
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"epoch": 4.988913525498892,
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"total_flos": 1.6629843858229821e+18,
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"train_loss": 1.3908887059953479,
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"train_runtime": 3606.4613,
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"train_samples": 92634,
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"train_samples_per_second": 9.989,
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| 8 |
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"train_steps_per_second": 0.312
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}
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runs/Aug08_06-34-24_main-heavy-owl-1-0-0/events.out.tfevents.1723113513.main-heavy-owl-1-0-0.531.0
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:2622e175d6a1767ad525517fac93250faec7274b54a3b9dd62e8eb57f3427881
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size 55984
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train_results.json
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{
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"epoch": 4.988913525498892,
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"total_flos": 1.6629843858229821e+18,
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"train_loss": 1.3908887059953479,
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"train_runtime": 3606.4613,
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"train_samples": 92634,
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"train_samples_per_second": 9.989,
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"train_steps_per_second": 0.312
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}
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trainer_state.json
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