---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: cllm-1.0.0
  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. -->

# cllm-1.0.0

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7403

## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| No log        | 0.0044 | 2000  | 3.8105          |
| 4.2179        | 0.0089 | 4000  | 3.4461          |
| 4.2179        | 0.0133 | 6000  | 3.2612          |
| 3.2341        | 0.0178 | 8000  | 3.1610          |
| 3.2341        | 0.0222 | 10000 | 3.0834          |
| 3.0422        | 0.0267 | 12000 | 3.0260          |
| 3.0422        | 0.0311 | 14000 | 2.9872          |
| 2.9347        | 0.0356 | 16000 | 2.9444          |
| 2.9347        | 0.0400 | 18000 | 2.9090          |
| 2.874         | 0.0445 | 20000 | 2.8854          |
| 2.874         | 0.0489 | 22000 | 2.8585          |
| 2.8204        | 0.0534 | 24000 | 2.8405          |
| 2.8204        | 0.0578 | 26000 | 2.8245          |
| 2.7825        | 0.0622 | 28000 | 2.8106          |
| 2.7825        | 0.0667 | 30000 | 2.7993          |
| 2.7555        | 0.0711 | 32000 | 2.7867          |
| 2.7555        | 0.0756 | 34000 | 2.7738          |
| 2.7285        | 0.0800 | 36000 | 2.7700          |
| 2.7285        | 0.0845 | 38000 | 2.7597          |
| 2.7179        | 0.0889 | 40000 | 2.7591          |
| 2.7179        | 0.0934 | 42000 | 2.7488          |
| 2.7119        | 0.0978 | 44000 | 2.7512          |
| 2.7119        | 0.1023 | 46000 | 2.7487          |
| 2.7043        | 0.1067 | 48000 | 2.7436          |
| 2.7043        | 0.1111 | 50000 | 2.7422          |
| 2.7013        | 0.1156 | 52000 | 2.7435          |
| 2.7013        | 0.1200 | 54000 | 2.7388          |
| 2.7029        | 0.1245 | 56000 | 2.7380          |
| 2.7029        | 0.1289 | 58000 | 2.7403          |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.1