pythia1b-rm-tldr6.9b – AI Model by mnoukhov | AlphaNeural AI

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mnoukhov/
pythia1b-rm-tldr6.9b

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text-classification

generated_from_trainer

mnoukhov/pythia1b-sft-tldr

autotrain_compatible

text-generation-inference

endpoints_compatible

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pythia1b-rm-tldr6.9b

This model is a fine-tuned version of mnoukhov/pythia1b-sft-tldr on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4685
Accuracy: 0.7693

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: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 16
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
0.5365	0.2006	291	0.5420	0.7271
0.4521	0.4011	582	0.5034	0.7485
0.3994	0.6017	873	0.4893	0.7577
0.3596	0.8022	1164	0.4685	0.7693

Framework versions

Transformers 4.41.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1