68 lines
1.6 KiB
Markdown
68 lines
1.6 KiB
Markdown
---
|
|
library_name: transformers
|
|
license: other
|
|
base_model: Qwen2.5-7B-Instruct
|
|
tags:
|
|
- llama-factory
|
|
- full
|
|
- generated_from_trainer
|
|
model-index:
|
|
- name: Qwen2.5-7B-Instruct-critic_lean_mix_48k
|
|
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. -->
|
|
|
|
# Qwen2.5-7B-Instruct-critic_lean_mix_48k
|
|
|
|
This model is a fine-tuned version of [Qwen2.5-7B-Instruct](https://huggingface.co/Qwen2.5-7B-Instruct) on the critic_lean_mix_48k dataset.
|
|
It achieves the following results on the evaluation set:
|
|
- Loss: 0.3344
|
|
|
|
## 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: 5e-06
|
|
- train_batch_size: 2
|
|
- eval_batch_size: 1
|
|
- seed: 42
|
|
- distributed_type: multi-GPU
|
|
- num_devices: 8
|
|
- total_train_batch_size: 16
|
|
- total_eval_batch_size: 8
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
|
- lr_scheduler_type: cosine
|
|
- lr_scheduler_warmup_ratio: 0.1
|
|
- num_epochs: 3.0
|
|
|
|
### Training results
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss |
|
|
|:-------------:|:-----:|:----:|:---------------:|
|
|
| 0.3494 | 1.0 | 2970 | 0.3095 |
|
|
| 0.2317 | 2.0 | 5940 | 0.3043 |
|
|
| 0.1291 | 3.0 | 8910 | 0.3344 |
|
|
|
|
|
|
### Framework versions
|
|
|
|
- Transformers 4.44.2
|
|
- Pytorch 2.2.1+cu121
|
|
- Datasets 2.21.0
|
|
- Tokenizers 0.19.1
|