metadata

base_model: google/gemma-2-2b
library_name: peft
license: gemma
metrics:
  - accuracy
  - precision
  - recall
  - f1
tags:
  - generated_from_trainer
model-index:
  - name: seqcls-mahasent
    results: []

seqcls-mahasent

This model is a fine-tuned version of google/gemma-2-2b on an unknown dataset. It achieves the following results on the evaluation set:

Loss: nan
Accuracy: 0.3333
Precision: 0.1111
Recall: 0.3333
F1: 0.1667

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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.0	1.0	3029	nan	0.3333	0.1111	0.3333	0.1667

Framework versions

PEFT 0.12.0
Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1