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ModelHub XC 562301c154 初始化项目,由ModelHub XC社区提供模型
Model: llam9/nor-eng-baseline-small-test
Source: Original Platform
2026-10-16 23:53:28 +08:00

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---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: nor-eng-baseline-small-test
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. -->
# nor-eng-baseline-small-test
This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.5691
## 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: 0.0001
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.6434 | 1.0 | 6191 | 3.5691 |
### Framework versions
- Transformers 4.53.0
- Pytorch 2.4.1+cu121
- Datasets 2.14.7
- Tokenizers 0.21.0