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mistral-convsearch-7b – AI Model by erbacher | AlphaNeural AI
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erbacher
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mistral-convsearch-7b
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safetensors
generated_from_trainer
mistralai/Mistral-7B-v0.1
finetune
apache-2.0
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mistral-convsearch-7b
This model is a fine-tuned version of
mistralai/Mistral-7B-v0.1
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6596
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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 32
total_train_batch_size: 512
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
0.9605
0.62
34
0.9471
0.7935
1.62
68
0.7886
0.7104
2.62
102
0.7083
0.6798
3.62
136
0.6753
0.6571
4.62
170
0.6582
Framework versions
Transformers 4.35.0
Pytorch 2.1.1+cu118
Datasets 2.14.6
Tokenizers 0.14.1
