Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
mistral-lima – AI Model by pkarypis | AlphaNeural AI
You can deploy this model and start earning money today!
pkarypis
/
mistral-lima
like
0
transformers
tensorboard
safetensors
mistral
text-generation
alignment-handbook
trl
sft
generated_from_trainer
conversational
GAIR/lima
mistralai/Mistral-7B-v0.1
finetune
autotrain_compatible
text-generation-inference
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
mistral-lima
This model is a fine-tuned version of
mistralai/Mistral-7B-v0.1
on the GAIR/lima dataset. It achieves the following results on the evaluation set:
Loss: 3.9177
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: 16
total_train_batch_size: 128
total_eval_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10.0
Training results
Training Loss
Epoch
Step
Validation Loss
1.8197
1.0
6
2.1417
1.3836
2.0
12
1.7507
0.9111
3.0
18
2.1441
0.4865
4.0
24
2.5979
0.0827
5.0
30
2.8178
0.0365
6.0
36
3.2582
0.019
7.0
42
3.6269
0.0127
8.0
48
3.8257
0.0092
9.0
54
3.9027
0.0071
10.0
60
3.9177
Framework versions
Transformers 4.38.2
Pytorch 2.1.2
Datasets 2.14.6
Tokenizers 0.15.2
