rohan11129
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my_finetuned_sentiment_model

Text Classification

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my_finetuned_sentiment_model

This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6009

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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.3078	1.0	10	0.5037
0.7325	2.0	20	0.6188
0.6901	3.0	30	0.6009

Framework versions

Transformers 4.46.1
Pytorch 2.5.1+cpu
Datasets 3.1.0
Tokenizers 0.20.1

Downloads last month: 65

Safetensors

Model size

67M params

Tensor type

F32

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Text Classification

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Model tree for rohan11129/my_finetuned_sentiment_model

Base model

distilbert/distilbert-base-uncased-finetuned-sst-2-english

Finetuned

(65)

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Evaluation results

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