---
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
should probably proofread and complete it, then remove this comment. -->

# 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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7927

## 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: 3372

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| No log        | 0.9953  | 105  | 1.1560          |
| No log        | 2.0     | 211  | 1.1306          |
| No log        | 2.9953  | 316  | 1.1640          |
| No log        | 4.0     | 422  | 1.2417          |
| No log        | 4.9953  | 527  | 1.2741          |
| No log        | 6.0     | 633  | 1.3009          |
| No log        | 6.9953  | 738  | 1.3479          |
| No log        | 8.0     | 844  | 1.4053          |
| No log        | 8.9953  | 949  | 1.4463          |
| No log        | 10.0    | 1055 | 1.4523          |
| No log        | 10.9953 | 1160 | 1.4646          |
| No log        | 12.0    | 1266 | 1.5013          |
| No log        | 12.9953 | 1371 | 1.4868          |
| No log        | 14.0    | 1477 | 1.5466          |
| No log        | 14.9953 | 1582 | 1.5501          |
| No log        | 16.0    | 1688 | 1.5816          |
| No log        | 16.9953 | 1793 | 1.5601          |
| No log        | 18.0    | 1899 | 1.5774          |
| No log        | 18.9953 | 2004 | 1.6338          |
| No log        | 20.0    | 2110 | 1.6242          |
| No log        | 20.9953 | 2215 | 1.6408          |
| No log        | 22.0    | 2321 | 1.6462          |
| No log        | 22.9953 | 2426 | 1.6565          |
| No log        | 24.0    | 2532 | 1.6767          |
| No log        | 24.9953 | 2637 | 1.7010          |
| No log        | 26.0    | 2743 | 1.6947          |
| No log        | 26.9953 | 2848 | 1.7124          |
| No log        | 28.0    | 2954 | 1.7340          |
| No log        | 28.9953 | 3059 | 1.7522          |
| No log        | 30.0    | 3165 | 1.7693          |
| No log        | 30.9953 | 3270 | 1.7857          |
| No log        | 31.9621 | 3372 | 1.7927          |


### Framework versions

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