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Model: jackf857/qwen3-8b-base-sft-hh-helpful-4xh200-batch-64-20260417-214452
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---
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen3-8B-Base
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- Anthropic/hh-rlhf
model-index:
- name: qwen3-8b-base-sft-hh-helpful-4xh200-batch-64-20260417-214452
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. -->
# qwen3-8b-base-sft-hh-helpful-4xh200-batch-64-20260417-214452
This model is a fine-tuned version of [Qwen/Qwen3-8B-Base](https://huggingface.co/Qwen/Qwen3-8B-Base) on the Anthropic/hh-rlhf dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3682
## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.5038 | 0.3717 | 100 | 1.5039 |
| 1.3595 | 0.7435 | 200 | 1.3682 |
### Framework versions
- Transformers 4.51.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.21.4

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special_tokens_map.json Normal file
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tokenizer.json (Stored with Git LFS) Normal file

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240
tokenizer_config.json Normal file
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