RWKV-7b-finetuned
This model is a fine-tuned version of RWKV/rwkv-raven-7b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0765
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: 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: 2
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.1091 | 1.0 | 1 | 1.0925 |
1.1065 | 2.0 | 2 | 1.0765 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
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Model tree for avidoavid/RWKV-7b-finetuned
Base model
RWKV/rwkv-raven-7b