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library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-1B
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: rationale_model_e3_save5000_f2
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. -->
# rationale_model_e3_save5000_f2
This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9490
## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 1.755 | 0.1907 | 1000 | 1.9490 |
| 1.4087 | 0.3815 | 2000 | 2.0212 |
| 0.9951 | 0.5722 | 3000 | 2.2073 |
| 0.6546 | 0.7629 | 4000 | 2.4321 |
| 0.3825 | 0.9537 | 5000 | 2.7536 |
| 0.2015 | 1.1444 | 6000 | 2.9396 |
| 0.1741 | 1.3351 | 7000 | 3.0700 |
| 0.1463 | 1.5258 | 8000 | 3.1767 |
| 0.1305 | 1.7166 | 9000 | 3.3858 |
| 0.1178 | 1.9073 | 10000 | 3.4989 |
| 0.0991 | 2.0980 | 11000 | 3.5767 |
| 0.0961 | 2.2888 | 12000 | 3.7036 |
| 0.095 | 2.4795 | 13000 | 3.8034 |
| 0.0894 | 2.6702 | 14000 | 3.9220 |
| 0.0862 | 2.8610 | 15000 | 3.9916 |
### Framework versions
- Transformers 4.45.0
- Pytorch 2.3.0
- Datasets 2.14.4
- Tokenizers 0.20.3
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