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pythia410m-rm-tldr – AI Model by mnoukhov | AlphaNeural AI | AlphaNeural AI
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pythia410m-rm-tldr
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transformers
safetensors
gpt_neox
text-classification
trl
reward-trainer
generated_from_trainer
mnoukhov/pythia410m-sft-tldr
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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pythia410m-rm-tldr
This model is a fine-tuned version of
mnoukhov/pythia410m-sft-tldr
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4313
Accuracy: 0.7928
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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.5145
0.2006
291
0.4726
0.7659
0.4356
0.4011
582
0.4641
0.7730
0.3823
0.6017
873
0.4456
0.7860
0.3616
0.8022
1164
0.4313
0.7928
Framework versions
Transformers 4.40.1
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1
