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RWKV-1b5-finetuned-overfit – AI Model by avidoavid | AlphaNeural AI
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RWKV-1b5-finetuned-overfit
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transformers
rwkv
text-generation
generated_from_trainer
RWKV/rwkv-raven-1b5
finetune
autotrain_compatible
endpoints_compatible
us
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RWKV-1b5-finetuned-overfit
This model is a fine-tuned version of
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
