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pythia2.8b-sft-tldr – AI Model by mnoukhov | AlphaNeural AI
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pythia2.8b-sft-tldr
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transformers
safetensors
gpt_neox
text-generation
trl
sft
generated_from_trainer
EleutherAI/pythia-2.8b-deduped
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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pythia2.8b-sft-tldr
This model is a fine-tuned version of
EleutherAI/pythia-2.8b-deduped
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.2578
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: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 8
total_train_batch_size: 128
total_eval_batch_size: 32
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
2.3714
0.2007
183
2.2949
2.2873
0.4013
366
2.2773
2.2732
0.6020
549
2.2656
2.2562
0.8026
732
2.2578
Framework versions
Transformers 4.41.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1
