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llama-duo
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llama3.1-8b-classification-gpt4o-100k

PEFT
TensorBoard
Safetensors
llama
alignment-handbook
trl
sft
Generated from Trainer
4-bit precision
bitsandbytes
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+ ---
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+ base_model: meta-llama/Meta-Llama-3.1-8B
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+ datasets:
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+ - generator
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+ library_name: peft
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+ license: llama3.1
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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: llama3.1-8b-classification-gpt4o-100k
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+ results: []
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+ ---
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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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+
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+ # llama3.1-8b-classification-gpt4o-100k
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+
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+ This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.8520
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 1.4961 | 0.9978 | 225 | 1.7708 |
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+ | 1.3952 | 2.0 | 451 | 1.7770 |
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+ | 1.3491 | 2.9978 | 676 | 1.7484 |
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+ | 1.3025 | 4.0 | 902 | 1.7902 |
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+ | 1.2904 | 4.9978 | 1127 | 1.7997 |
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+ | 1.2729 | 6.0 | 1353 | 1.8170 |
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+ | 1.2451 | 6.9978 | 1578 | 1.8180 |
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+ | 1.229 | 8.0 | 1804 | 1.8372 |
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+ | 1.2239 | 8.9978 | 2029 | 1.8482 |
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+ | 1.2051 | 9.9778 | 2250 | 1.8520 |
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+
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+
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+ ### Framework versions
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+
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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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