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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_f3
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_f3
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: 1.9449
## 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 |
|:-------------:|:------:|:-----:|:---------------:|
| 1.7548 | 0.1907 | 1000 | 1.9449 |
| 1.3912 | 0.3814 | 2000 | 2.0170 |
| 0.9994 | 0.5721 | 3000 | 2.1840 |
| 0.6462 | 0.7628 | 4000 | 2.3842 |
| 0.3791 | 0.9535 | 5000 | 2.7062 |
| 0.2017 | 1.1442 | 6000 | 2.9006 |
| 0.1723 | 1.3349 | 7000 | 3.0643 |
| 0.1449 | 1.5256 | 8000 | 3.2089 |
| 0.1292 | 1.7162 | 9000 | 3.3468 |
| 0.1177 | 1.9069 | 10000 | 3.4686 |
| 0.0996 | 2.0976 | 11000 | 3.5735 |
| 0.0966 | 2.2883 | 12000 | 3.6707 |
| 0.0913 | 2.4790 | 13000 | 3.7954 |
| 0.0916 | 2.6697 | 14000 | 3.9067 |
| 0.0859 | 2.8604 | 15000 | 3.9867 |
### Framework versions
- Transformers 4.45.0
- Pytorch 2.3.0
- Datasets 2.14.4
- Tokenizers 0.20.3
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