---
base_model: Qwen/Qwen-14B
tags:
- generated_from_trainer
model-index:
- name: nampdn-ai_tiny-textbooks
  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. -->

# nampdn-ai_tiny-textbooks

This model is a fine-tuned version of [Qwen/Qwen-14B](https://huggingface.co/Qwen/Qwen-14B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4456

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.01
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3995        | 0.02  | 63   | 2.4534          |
| 2.4114        | 0.04  | 126  | 2.4578          |
| 2.3929        | 0.06  | 189  | 2.4563          |
| 2.4145        | 0.08  | 252  | 2.4551          |
| 2.4145        | 0.1   | 315  | 2.4539          |
| 2.3687        | 0.12  | 378  | 2.4537          |
| 2.3899        | 0.14  | 441  | 2.4537          |
| 2.3827        | 0.16  | 504  | 2.4513          |
| 2.4124        | 0.18  | 567  | 2.4509          |
| 2.3839        | 0.2   | 630  | 2.4502          |
| 2.3962        | 0.22  | 693  | 2.4489          |
| 2.4156        | 0.24  | 756  | 2.4498          |
| 2.4085        | 0.26  | 819  | 2.4491          |
| 2.4303        | 0.28  | 882  | 2.4480          |
| 2.4038        | 0.3   | 945  | 2.4473          |
| 2.397         | 0.32  | 1008 | 2.4474          |
| 2.4259        | 0.34  | 1071 | 2.4484          |
| 2.4248        | 0.36  | 1134 | 2.4481          |
| 2.3889        | 0.38  | 1197 | 2.4480          |
| 2.397         | 0.4   | 1260 | 2.4472          |
| 2.3966        | 0.42  | 1323 | 2.4485          |
| 2.3764        | 0.44  | 1386 | 2.4464          |
| 2.389         | 0.46  | 1449 | 2.4477          |
| 2.4051        | 0.48  | 1512 | 2.4477          |
| 2.3919        | 0.5   | 1575 | 2.4483          |
| 2.3874        | 0.52  | 1638 | 2.4475          |
| 2.3575        | 0.54  | 1701 | 2.4457          |
| 2.3941        | 0.56  | 1764 | 2.4468          |
| 2.4167        | 0.58  | 1827 | 2.4467          |
| 2.3787        | 0.6   | 1890 | 2.4466          |
| 2.3838        | 0.62  | 1953 | 2.4472          |
| 2.4292        | 0.65  | 2016 | 2.4465          |
| 2.3788        | 0.67  | 2079 | 2.4459          |
| 2.4314        | 0.69  | 2142 | 2.4466          |
| 2.4071        | 0.71  | 2205 | 2.4462          |
| 2.3655        | 0.73  | 2268 | 2.4462          |
| 2.427         | 0.75  | 2331 | 2.4463          |
| 2.3794        | 0.77  | 2394 | 2.4460          |
| 2.3645        | 0.79  | 2457 | 2.4458          |
| 2.393         | 0.81  | 2520 | 2.4458          |
| 2.4032        | 0.83  | 2583 | 2.4457          |
| 2.3818        | 0.85  | 2646 | 2.4456          |
| 2.4262        | 0.87  | 2709 | 2.4457          |
| 2.3719        | 0.89  | 2772 | 2.4457          |
| 2.3935        | 0.91  | 2835 | 2.4457          |
| 2.393         | 0.93  | 2898 | 2.4456          |
| 2.3695        | 0.95  | 2961 | 2.4455          |
| 2.3878        | 0.97  | 3024 | 2.4454          |
| 2.3873        | 0.99  | 3087 | 2.4456          |


### Framework versions

- Transformers 4.35.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.5.2
- Tokenizers 0.14.0