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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: feedback_model_e15
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. -->
# feedback_model_e15
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: 2.0258
## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 2.0708 | 0.0954 | 500 | 2.0258 |
| 1.7495 | 0.1908 | 1000 | 2.0441 |
| 1.4747 | 0.2862 | 1500 | 2.1073 |
| 1.1805 | 0.3815 | 2000 | 2.1233 |
| 0.963 | 0.4769 | 2500 | 2.2422 |
| 0.7523 | 0.5723 | 3000 | 2.3396 |
| 0.573 | 0.6677 | 3500 | 2.5663 |
| 0.4395 | 0.7631 | 4000 | 2.5910 |
| 0.3469 | 0.8585 | 4500 | 2.7149 |
| 0.2926 | 0.9538 | 5000 | 2.8265 |
| 0.2289 | 1.0492 | 5500 | 2.9349 |
| 0.1998 | 1.1446 | 6000 | 2.9571 |
| 0.1892 | 1.2400 | 6500 | 2.9969 |
| 0.1832 | 1.3354 | 7000 | 3.0586 |
| 0.1745 | 1.4308 | 7500 | 3.1055 |
| 0.164 | 1.5261 | 8000 | 3.1170 |
| 0.1546 | 1.6215 | 8500 | 3.1975 |
| 0.153 | 1.7169 | 9000 | 3.2386 |
| 0.147 | 1.8123 | 9500 | 3.2560 |
| 0.1385 | 1.9077 | 10000 | 3.2884 |
| 0.1344 | 2.0031 | 10500 | 3.3657 |
| 0.1071 | 2.0984 | 11000 | 3.4352 |
| 0.1027 | 2.1938 | 11500 | 3.4475 |
| 0.1012 | 2.2892 | 12000 | 3.4725 |
| 0.1015 | 2.3846 | 12500 | 3.5231 |
| 0.0997 | 2.4800 | 13000 | 3.5557 |
| 0.0953 | 2.5754 | 13500 | 3.5976 |
| 0.0932 | 2.6707 | 14000 | 3.6351 |
| 0.0904 | 2.7661 | 14500 | 3.6831 |
| 0.0869 | 2.8615 | 15000 | 3.7173 |
| 0.0856 | 2.9569 | 15500 | 3.7257 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.3.0
- Datasets 2.14.4
- Tokenizers 0.20.3
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