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yukta10_finetuning-sentiment-model-3000-samples-finetuned-lora-tweet_eval_sentiment – AI Model by TransferGraph | AlphaNeural AI
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yukta10_finetuning-sentiment-model-3000-samples-finetuned-lora-tweet_eval_sentiment
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peft
safetensors
parquet
text-classification
tweet_eval
yukta10/finetuning-sentiment-model-3000-samples
adapter
apache-2.0
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yukta10_finetuning-sentiment-model-3000-samples-finetuned-lora-tweet_eval_sentiment
This model is a fine-tuned version of
yukta10/finetuning-sentiment-model-3000-samples
on the tweet_eval dataset. It achieves the following results on the evaluation set:
accuracy: 0.7195
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: 0.0004
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: 4
Training results
accuracy
train_loss
epoch
0.415
None
0
0.7065
0.7064
0
0.7165
0.6522
1
0.703
0.6282
2
0.7195
0.6119
3
Framework versions
PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.2.0
Datasets 2.16.1
Tokenizers 0.15.2
