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---
base_model: RWKV/rwkv-raven-1b5
tags:
- generated_from_trainer
model-index:
- name: RWKV-1b5-finetuned-overfit
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. -->
# RWKV-1b5-finetuned-overfit
This model is a fine-tuned version of [RWKV/rwkv-raven-1b5](https://huggingface.co/RWKV/rwkv-raven-1b5) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 68.7560
## 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: 0.005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6836 | 1.0 | 1 | 1.4341 |
| 1.5494 | 2.0 | 2 | 1.7198 |
| 0.7595 | 3.0 | 3 | 9.1981 |
| 0.3142 | 4.0 | 4 | 35.6430 |
| 0.1007 | 5.0 | 5 | 68.5554 |
| 0.0256 | 6.0 | 6 | 69.8436 |
| 0.0119 | 7.0 | 7 | 69.2797 |
| 0.0082 | 8.0 | 8 | 68.7560 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
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