mistral-7b-askhn – AI Model by ristew | AlphaNeural AI

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ristew/
mistral-7b-askhn

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text-generation

generated_from_trainer

mistralai/Mistral-7B-v0.1

autotrain_compatible

text-generation-inference

endpoints_compatible

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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: 2.9838

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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 10
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
2.822	0.01	1	2.7914
2.4718	0.15	17	2.4825
2.4643	0.31	34	2.4859
2.4417	0.46	51	2.4764
2.4343	0.62	68	2.4696
2.4312	0.77	85	2.4645
2.385	0.92	102	2.4511
1.5771	1.05	119	2.5741
1.4889	1.21	136	2.5933
1.4574	1.36	153	2.6168
1.493	1.52	170	2.6088
1.4544	1.67	187	2.6049
1.4422	1.82	204	2.5967
1.3711	1.98	221	2.6013
0.7967	2.11	238	3.1609
0.7342	2.26	255	3.0085
0.7731	2.42	272	2.9758
0.7546	2.57	289	2.9832
0.7936	2.72	306	2.9837
0.7374	2.88	323	2.9838

Framework versions

Transformers 4.34.1
Pytorch 2.0.1+cu118
Datasets 2.14.6
Tokenizers 0.14.1