---
license: mit
base_model: mikhail-panzo/zlm_b64_le4_s12000
tags:
- generated_from_trainer
model-index:
- name: zlm-ceb_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-ceb_b64_le5_s8000

This model is a fine-tuned version of [mikhail-panzo/zlm_b64_le4_s12000](https://huggingface.co/mikhail-panzo/zlm_b64_le4_s12000) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4051

## 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: 0.0001
- 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 |
|:-------------:|:--------:|:----:|:---------------:|
| 0.4626        | 19.6078  | 500  | 0.4263          |
| 0.4288        | 39.2157  | 1000 | 0.4077          |
| 0.4109        | 58.8235  | 1500 | 0.4013          |
| 0.3978        | 78.4314  | 2000 | 0.4035          |
| 0.3898        | 98.0392  | 2500 | 0.4013          |
| 0.373         | 117.6471 | 3000 | 0.4010          |
| 0.3644        | 137.2549 | 3500 | 0.4005          |
| 0.3569        | 156.8627 | 4000 | 0.4029          |
| 0.3515        | 176.4706 | 4500 | 0.4039          |
| 0.3443        | 196.0784 | 5000 | 0.4005          |
| 0.3469        | 215.6863 | 5500 | 0.4018          |
| 0.3427        | 235.2941 | 6000 | 0.4001          |
| 0.3401        | 254.9020 | 6500 | 0.4042          |
| 0.3419        | 274.5098 | 7000 | 0.4054          |
| 0.3318        | 294.1176 | 7500 | 0.4057          |
| 0.3312        | 313.7255 | 8000 | 0.4051          |


### Framework versions

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