---
license: mit
base_model: mikhail-panzo/fil_weak_checkpoint
tags:
- generated_from_trainer
model-index:
- name: test_ceb_checkpoint
  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. -->

# test_ceb_checkpoint

This model is a fine-tuned version of [mikhail-panzo/fil_weak_checkpoint](https://huggingface.co/mikhail-panzo/fil_weak_checkpoint) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4459

## 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: 0.0004
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- training_steps: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 2.78  | 25   | 0.4857          |
| 0.5369        | 5.56  | 50   | 0.4459          |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.2.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2