---
library_name: transformers
base_model: ErikDaska/lr_1e-04-last
tags:
- generated_from_trainer
model-index:
- name: lr_1e-04-last-sft
  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. -->

# lr_1e-04-last-sft

This model is a fine-tuned version of [ErikDaska/lr_1e-04-last](https://huggingface.co/ErikDaska/lr_1e-04-last) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7291

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.9824        | 0.4444 | 200  | 0.8604          |
| 0.9089        | 0.8889 | 400  | 0.8122          |
| 0.8606        | 1.3333 | 600  | 0.7796          |
| 0.8538        | 1.7778 | 800  | 0.7631          |
| 0.8147        | 2.2222 | 1000 | 0.7530          |
| 0.7895        | 2.6667 | 1200 | 0.7410          |
| 0.7649        | 3.1111 | 1400 | 0.7358          |
| 0.7317        | 3.5556 | 1600 | 0.7330          |
| 0.7863        | 4.0    | 1800 | 0.7292          |
| 0.7629        | 4.4444 | 2000 | 0.7297          |
| 0.7229        | 4.8889 | 2200 | 0.7291          |
| 0.7518        | 5.0    | 2250 | 0.7291          |


### Framework versions

- Transformers 5.10.2
- Pytorch 2.11.0+cu128
- Datasets 5.0.0
- Tokenizers 0.22.2
