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cricket – Dataset by samhitmantrala | AlphaNeural AI
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cricket
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cricket
This model is a fine-tuned version of
distilgpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.2938
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: 0.0002
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
1
3.3173
No log
2.0
2
2.6299
No log
3.0
3
2.3821
No log
4.0
4
2.2974
No log
5.0
5
2.2894
No log
6.0
6
2.2968
No log
7.0
7
2.2920
No log
8.0
8
2.2950
No log
9.0
9
2.2973
No log
10.0
10
2.2938
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
