---
license: mit
base_model: mikhail-panzo/fil_enhanced_checkpoint
tags:
- generated_from_trainer
model-index:
- name: ceb_full_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. -->

# ceb_full_checkpoint

This model is a fine-tuned version of [mikhail-panzo/fil_enhanced_checkpoint](https://huggingface.co/mikhail-panzo/fil_enhanced_checkpoint) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3917

## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.4492        | 19.23  | 500  | 0.4096          |
| 0.429         | 38.46  | 1000 | 0.3978          |
| 0.4188        | 57.69  | 1500 | 0.3947          |
| 0.4142        | 76.92  | 2000 | 0.3921          |
| 0.4105        | 96.15  | 2500 | 0.3921          |
| 0.4081        | 115.38 | 3000 | 0.3914          |
| 0.4107        | 134.62 | 3500 | 0.3906          |
| 0.406         | 153.85 | 4000 | 0.3917          |


### Framework versions

- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2