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AlinaKozyreva/
olinaweights

Name: olinaweights
Availability: InStock

safetensors

generated_from_trainer

baffo32/decapoda-research-llama-7B-hf

finetune

other

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olinaweights

This model is a fine-tuned version of baffo32/decapoda-research-llama-7B-hf on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0104

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: 0.0003
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 40
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.01	100	0.1012
No log	0.03	200	0.0426
0.1403	0.04	300	0.0455
0.1403	0.05	400	0.0258
0.0307	0.07	500	0.0227
0.0307	0.08	600	0.0200
0.0307	0.09	700	0.0164
0.019	0.11	800	0.0126
0.019	0.12	900	0.0117
0.0115	0.13	1000	0.0104

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu121
Datasets 2.14.6
Tokenizers 0.14.1

AlinaKozyreva/olinaweights

olinaweights

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

AlinaKozyreva/
olinaweights