---
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen2.5-0.5B-Instruct
tags:
- generated_from_trainer
model-index:
- name: careerbot_PG6_Qwen_Qwen2.5-0.5B-Instruct_model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# careerbot_PG6_Qwen_Qwen2.5-0.5B-Instruct_model

This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4229

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAFACTOR and the args are:
No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 5072

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| No log        | 0.9968  | 158  | 1.0200          |
| No log        | 2.0     | 317  | 0.9880          |
| No log        | 2.9968  | 475  | 0.9873          |
| No log        | 4.0     | 634  | 1.0426          |
| No log        | 4.9968  | 792  | 1.0514          |
| No log        | 6.0     | 951  | 1.0938          |
| No log        | 6.9968  | 1109 | 1.0742          |
| No log        | 8.0     | 1268 | 1.1283          |
| No log        | 8.9968  | 1426 | 1.1356          |
| No log        | 10.0    | 1585 | 1.1581          |
| No log        | 10.9968 | 1743 | 1.2045          |
| No log        | 12.0    | 1902 | 1.2060          |
| No log        | 12.9968 | 2060 | 1.2354          |
| No log        | 14.0    | 2219 | 1.2285          |
| No log        | 14.9968 | 2377 | 1.2401          |
| No log        | 16.0    | 2536 | 1.2986          |
| No log        | 16.9968 | 2694 | 1.2904          |
| No log        | 18.0    | 2853 | 1.3051          |
| No log        | 18.9968 | 3011 | 1.3109          |
| No log        | 20.0    | 3170 | 1.3154          |
| No log        | 20.9968 | 3328 | 1.3202          |
| No log        | 22.0    | 3487 | 1.3282          |
| No log        | 22.9968 | 3645 | 1.3385          |
| No log        | 24.0    | 3804 | 1.3295          |
| No log        | 24.9968 | 3962 | 1.3512          |
| No log        | 26.0    | 4121 | 1.3583          |
| No log        | 26.9968 | 4279 | 1.3666          |
| No log        | 28.0    | 4438 | 1.3841          |
| No log        | 28.9968 | 4596 | 1.3938          |
| No log        | 30.0    | 4755 | 1.4084          |
| No log        | 30.9968 | 4913 | 1.4178          |
| No log        | 32.0    | 5072 | 1.4229          |


### Framework versions

- Transformers 4.46.1
- Pytorch 2.5.0+cu124
- Datasets 2.19.0
- Tokenizers 0.20.1