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b3-summ-Mistral-7B-v0.1 – AI Model by gbieul | AlphaNeural AI | AlphaNeural AI
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b3-summ-Mistral-7B-v0.1
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peft
tensorboard
safetensors
generated_from_trainer
mistralai/Mistral-7B-v0.1
adapter
apache-2.0
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b3-summ-Mistral-7B-v0.1
This model is a fine-tuned version of
mistralai/Mistral-7B-v0.1
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.7543
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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 200
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.0777
40.0
1200
1.3689
0.0104
80.0
2400
1.6117
0.0067
120.0
3600
1.7020
0.0063
160.0
4800
1.7320
0.0059
200.0
6000
1.7543
Framework versions
PEFT 0.7.2.dev0
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
