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SRGPTSENTNEG2 – AI Model by Tanor | AlphaNeural AI
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Tanor
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SRGPTSENTNEG2
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transformers
pytorch
gpt2
text-classification
generated_from_trainer
Tanor/SRGPTSENTNEG2
finetune
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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SRGPTSENTNEG2
This model is a fine-tuned version of
Tanor/SRGPTSENTNEG2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1820
F1: 0.3235
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: 2e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 32
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.1297
1.0
2697
0.1564
0.0
0.0867
2.0
5394
0.1468
0.2903
0.0467
3.0
8091
0.1674
0.3288
0.052
4.0
10788
0.2066
0.3514
0.0403
5.0
13485
0.1820
0.3235
Framework versions
Transformers 4.31.0
Pytorch 2.1.0.dev20230801
Datasets 2.14.2
Tokenizers 0.13.3
