---
base_model: mikhail-panzo/zlm_b128_le4_s12000
tags:
- generated_from_trainer
model-index:
- name: zlm-fil_b64_le5_s8000
  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. -->

# zlm-fil_b64_le5_s8000

This model is a fine-tuned version of [mikhail-panzo/zlm_b128_le4_s12000](https://huggingface.co/mikhail-panzo/zlm_b128_le4_s12000) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4077

## 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: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 2000
- training_steps: 8000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch    | Step | Validation Loss |
|:-------------:|:--------:|:----:|:---------------:|
| 0.5541        | 21.7391  | 500  | 0.4977          |
| 0.4931        | 43.4783  | 1000 | 0.4529          |
| 0.4695        | 65.2174  | 1500 | 0.4330          |
| 0.4518        | 86.9565  | 2000 | 0.4230          |
| 0.4442        | 108.6957 | 2500 | 0.4179          |
| 0.4344        | 130.4348 | 3000 | 0.4135          |
| 0.4318        | 152.1739 | 3500 | 0.4111          |
| 0.4201        | 173.9130 | 4000 | 0.4110          |
| 0.4185        | 195.6522 | 4500 | 0.4091          |
| 0.4153        | 217.3913 | 5000 | 0.4097          |
| 0.414         | 239.1304 | 5500 | 0.4069          |
| 0.4113        | 260.8696 | 6000 | 0.4080          |
| 0.4133        | 282.6087 | 6500 | 0.4073          |
| 0.4095        | 304.3478 | 7000 | 0.4059          |
| 0.4129        | 326.0870 | 7500 | 0.4083          |
| 0.4035        | 347.8261 | 8000 | 0.4077          |


### Framework versions

- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1