pythia-70m-sft-function-calling – AI Model by borkh | AlphaNeural AI

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borkh/
pythia-70m-sft-function-calling

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text-generation

generated_from_trainer

EleutherAI/pythia-70m

autotrain_compatible

text-generation-inference

endpoints_compatible

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pythia-70m-sft-function-calling

This model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9858

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: 2e-05
train_batch_size: 5
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.2294	0.11	2000	1.2844
1.115	0.22	4000	1.1689
1.0368	0.33	6000	1.1194
1.0346	0.44	8000	1.0797
0.9951	0.55	10000	1.0522
0.9832	0.66	12000	1.0325
0.9931	0.77	14000	1.0093
0.9502	0.88	16000	0.9944
0.9649	0.99	18000	0.9858

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu121
Datasets 2.14.6
Tokenizers 0.14.1