sft-trl-claim – AI Model by Tverous | AlphaNeural AI

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Tverous/
sft-trl-claim

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text-generation

generated_from_trainer

autotrain_compatible

endpoints_compatible

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sft-trl-claim

This model is a fine-tuned version of EleutherAI/gpt-j-6b on the anli dataset. It achieves the following results on the evaluation set:

Loss: 0.6558

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
2.1758	0.2	1000	1.8749
0.9782	0.4	2000	1.4891
0.7268	0.6	3000	1.0777
0.7882	0.8	4000	0.7661
0.316	1.0	5000	0.7215
0.2962	1.2	6000	0.7067
0.2318	1.4	7000	0.6914
0.3424	1.6	8000	0.6558
0.216	1.8	9000	0.6558
0.1732	2.0	10000	0.6558
0.1178	2.2	11000	0.6558
0.202	2.4	12000	0.6558
0.1088	2.6	13000	0.6558
0.1408	2.8	14000	0.6558
0.1856	3.0	15000	0.6558

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.13.3