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mistral-7b-instructv0.2_finetuned – AI Model by Rv-23bit | AlphaNeural AI
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Rv-23bit
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mistral-7b-instructv0.2_finetuned
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peft
safetensors
trl
sft
generated_from_trainer
mistralai/Mistral-7B-Instruct-v0.2
adapter
apache-2.0
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mistral-7b-instructv0.2_finetuned
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: 0.2455
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.3122
1.0
58
0.2679
0.2479
2.0
116
0.2474
0.2281
3.0
174
0.2455
Framework versions
PEFT 0.10.0
Transformers 4.39.1
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
