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ishwarbb23/
finetuned-baseline-phase-2

Name: finetuned-baseline-phase-2
Availability: InStock

transformers

pytorch

text2text-generation

generated_from_trainer

ishwarbb23/finetuned-baseline-phase-1

finetune

mit

text-generation-inference

endpoints_compatible

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finetuned-baseline-phase-2

This model is a fine-tuned version of ishwarbb23/finetuned-baseline-phase-1 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.8342

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: 0.0001
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
2.1408	1.36	5	1.9433
2.0484	2.71	10	1.9249
1.934	4.07	15	1.9013
1.8917	5.42	20	1.8811
1.9923	6.78	25	1.8662
1.9	8.14	30	1.8572
1.8039	9.49	35	1.8497
1.8909	10.85	40	1.8446
1.8444	12.2	45	1.8407
1.7774	13.56	50	1.8370
1.8487	14.92	55	1.8350
1.7996	16.27	60	1.8342

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

ishwarbb23/finetuned-baseline-phase-2

finetuned-baseline-phase-2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ishwarbb23/
finetuned-baseline-phase-2