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---
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: MedQA_L3_500steps_1e7rate_SFT
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# MedQA_L3_500steps_1e7rate_SFT
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3157
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-07
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 500
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.774 | 0.0489 | 50 | 1.7867 |
| 1.7099 | 0.0977 | 100 | 1.6989 |
| 1.5892 | 0.1466 | 150 | 1.5687 |
| 1.4868 | 0.1954 | 200 | 1.4685 |
| 1.4001 | 0.2443 | 250 | 1.3929 |
| 1.3564 | 0.2931 | 300 | 1.3457 |
| 1.3261 | 0.3420 | 350 | 1.3226 |
| 1.3101 | 0.3908 | 400 | 1.3163 |
| 1.3032 | 0.4397 | 450 | 1.3159 |
| 1.3189 | 0.4885 | 500 | 1.3157 |
### Framework versions
- Transformers 4.41.0
- Pytorch 2.0.0+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1
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