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CEFR-C2-babylm-urop-shivan – AI Model by climb-mao | AlphaNeural AI
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CEFR-C2-babylm-urop-shivan
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
autotrain_compatible
text-generation-inference
endpoints_compatible
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CEFR-C2-babylm-urop-shivan
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 6.8612
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_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
7.9776
1.0
30
7.4788
7.1534
2.0
60
7.0279
6.8647
3.0
90
6.8612
Framework versions
Transformers 4.55.2
Pytorch 2.8.0.dev20250610+cu118
Datasets 4.0.0
Tokenizers 0.21.4
