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---
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 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
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