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dev_results_model8_new – AI Model by Anish13 | AlphaNeural AI
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dev_results_model8_new
This model is a fine-tuned version of
on the None dataset. It achieves the following results on the evaluation set:
Loss: 6.6467
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: 32
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 20
num_epochs: 50
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
6.4968
11.9617
5000
6.8573
6.0917
23.9234
10000
6.7011
5.8232
35.8852
15000
6.6316
5.6895
47.8469
20000
6.6467
Framework versions
Transformers 4.40.2
Pytorch 2.3.0
Datasets 2.19.1
Tokenizers 0.19.1
