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mistral_sparse_80__graceful_reg_50_pt_2000 – AI Model by thrunlab | AlphaNeural AI
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mistral_sparse_80__graceful_reg_50_pt_2000
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transformers
safetensors
mistral
text-generation
generated_from_trainer
mistralai/Mistral-7B-v0.1
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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mistral_sparse_80__graceful_reg_50_pt_2000
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: 0.8040
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: 1e-05
train_batch_size: 1
eval_batch_size: 16
seed: 0
distributed_type: multi-GPU
num_devices: 6
gradient_accumulation_steps: 4
total_train_batch_size: 24
total_eval_batch_size: 96
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 2000
Training results
Training Loss
Epoch
Step
Validation Loss
2.3491
0.12
50
1.1168
0.861
1.2
500
0.8770
0.7974
2.4
1000
0.8263
0.8279
3.6
1500
0.8116
0.7578
4.8
2000
0.8040
Framework versions
Transformers 4.35.2
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.15.0
