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---
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- GaetanMichelet/chat-60_ft_task-2
library_name: peft
license: llama3.1
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: Llama-31-8B_task-2_60-samples_config-3
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. -->
# Llama-31-8B_task-2_60-samples_config-3
This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on the GaetanMichelet/chat-60_ft_task-2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7156
## 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-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 150
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 1.0751 | 0.8696 | 5 | 1.0960 |
| 1.1004 | 1.9130 | 11 | 1.0923 |
| 1.1552 | 2.9565 | 17 | 1.0845 |
| 1.0884 | 4.0 | 23 | 1.0731 |
| 1.0984 | 4.8696 | 28 | 1.0593 |
| 1.054 | 5.9130 | 34 | 1.0363 |
| 0.9646 | 6.9565 | 40 | 1.0060 |
| 0.9982 | 8.0 | 46 | 0.9700 |
| 0.9649 | 8.8696 | 51 | 0.9380 |
| 0.9161 | 9.9130 | 57 | 0.9017 |
| 0.8966 | 10.9565 | 63 | 0.8722 |
| 0.8314 | 12.0 | 69 | 0.8468 |
| 0.7747 | 12.8696 | 74 | 0.8286 |
| 0.8162 | 13.9130 | 80 | 0.8081 |
| 0.8422 | 14.9565 | 86 | 0.7906 |
| 0.7802 | 16.0 | 92 | 0.7776 |
| 0.7179 | 16.8696 | 97 | 0.7692 |
| 0.7191 | 17.9130 | 103 | 0.7605 |
| 0.6644 | 18.9565 | 109 | 0.7524 |
| 0.6898 | 20.0 | 115 | 0.7456 |
| 0.6776 | 20.8696 | 120 | 0.7404 |
| 0.6571 | 21.9130 | 126 | 0.7338 |
| 0.6177 | 22.9565 | 132 | 0.7289 |
| 0.6361 | 24.0 | 138 | 0.7246 |
| 0.6357 | 24.8696 | 143 | 0.7214 |
| 0.6767 | 25.9130 | 149 | 0.7174 |
| 0.5947 | 26.9565 | 155 | 0.7170 |
| 0.6182 | 28.0 | 161 | 0.7156 |
| 0.5899 | 28.8696 | 166 | 0.7157 |
| 0.5612 | 29.9130 | 172 | 0.7162 |
| 0.5545 | 30.9565 | 178 | 0.7185 |
| 0.5574 | 32.0 | 184 | 0.7232 |
| 0.5316 | 32.8696 | 189 | 0.7254 |
| 0.5276 | 33.9130 | 195 | 0.7338 |
| 0.4653 | 34.9565 | 201 | 0.7407 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1 |