rm – AI Model by vwxyzjn | AlphaNeural AI

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vwxyzjn/
rm

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text-classification

generated_from_trainer

EleutherAI/pythia-160m

autotrain_compatible

text-generation-inference

endpoints_compatible

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rm

This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6757
Accuracy: 0.5840

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: 3e-06
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6608	0.6410	100	0.6802	0.5656

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.19.1