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satyanshu404/
Mistral-7B-Instruct-v0.2-finetuned-justification-v01

Name: Mistral-7B-Instruct-v0.2-finetuned-justification-v01
Availability: InStock

generated_from_trainer

mistralai/Mistral-7B-Instruct-v0.2

adapter

apache-2.0

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Mistral-7B-Instruct-v0.2-finetuned-justification-v01

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.7757

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: 0.0002
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
1.4434	1.0	169	1.5820
1.5221	2.0	338	1.5810
0.824	3.0	507	1.7089
0.9674	4.0	676	1.8947
0.6174	5.0	845	2.0892
0.4672	6.0	1014	2.2550
0.215	7.0	1183	2.4206
0.1316	8.0	1352	2.5481
0.0846	9.0	1521	2.7126
0.0696	10.0	1690	2.7757

Framework versions

PEFT 0.10.0
Transformers 4.36.2
Pytorch 2.2.2+cu121
Datasets 2.16.0
Tokenizers 0.15.2

satyanshu404/Mistral-7B-Instruct-v0.2-finetuned-justification-v01

Mistral-7B-Instruct-v0.2-finetuned-justification-v01

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

satyanshu404/
Mistral-7B-Instruct-v0.2-finetuned-justification-v01