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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_f4
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_f4
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: 1.9369
## 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 |
|:-------------:|:------:|:-----:|:---------------:|
| 1.7536 | 0.1907 | 1000 | 1.9369 |
| 1.3797 | 0.3813 | 2000 | 2.0320 |
| 1.0216 | 0.5720 | 3000 | 2.1529 |
| 0.6624 | 0.7626 | 4000 | 2.3760 |
| 0.3893 | 0.9533 | 5000 | 2.7429 |
| 0.1995 | 1.1439 | 6000 | 2.9766 |
| 0.1703 | 1.3346 | 7000 | 3.0843 |
| 0.1489 | 1.5253 | 8000 | 3.1774 |
| 0.1249 | 1.7159 | 9000 | 3.3298 |
| 0.1168 | 1.9066 | 10000 | 3.4572 |
| 0.0977 | 2.0972 | 11000 | 3.5885 |
| 0.0951 | 2.2879 | 12000 | 3.6941 |
| 0.092 | 2.4786 | 13000 | 3.7847 |
| 0.0894 | 2.6692 | 14000 | 3.9039 |
| 0.086 | 2.8599 | 15000 | 3.9903 |
### Framework versions
- Transformers 4.45.0
- Pytorch 2.3.0
- Datasets 2.14.4
- Tokenizers 0.20.3
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