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thrunlab_-_sparse_mistral_refined_web_90p_2024-03-23-8bits – AI Model by RichardErkhov | AlphaNeural AI
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thrunlab_-_sparse_mistral_refined_web_90p_2024-03-23-8bits
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sparse_mistral_refined_web_90p_2024-03-23 - bnb 8bits
Model creator:
https://huggingface.co/thrunlab/
Original model:
https://huggingface.co/thrunlab/sparse_mistral_refined_web_90p_2024-03-23/
Original model description:
license: apache-2.0 base_model: mistralai/Mistral-7B-v0.1 tags:
generated_from_trainer model-index:
name: sparse_mistral_refined_web_90p_2024-03-23 results: []
sparse_mistral_refined_web_90p_2024-03-23
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: 2.5513
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: 1
seed: 0
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 8
total_train_batch_size: 32
total_eval_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 200
Training results
Training Loss
Epoch
Step
Validation Loss
8.6179
0.01
25
8.1852
5.5288
0.02
50
5.1072
3.412
0.02
75
3.4986
2.9282
0.03
100
3.0918
2.8311
0.04
125
2.9413
2.6787
0.05
150
2.8614
2.5768
0.06
175
2.8043
2.6834
0.06
200
2.7735
Framework versions
Transformers 4.37.2
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.15.0
