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vdavidr/
CodeLlama-7b-Instruct-hf_En__components_size_252_epochs_10_2024-06-21_16-51-46_3556559

Name: CodeLlama-7b-Instruct-hf_En__components_size_252_epochs_10_2024-06-21_16-51-46_3556559
Availability: InStock

tensorboard

safetensors

generated_from_trainer

codellama/CodeLlama-7b-Instruct-hf

finetune

llama2

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CodeLlama-7b-Instruct-hf_En__components_size_252_epochs_10_2024-06-21_16-51-46_3556559

This model is a fine-tuned version of codellama/CodeLlama-7b-Instruct-hf on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.9251
Accuracy: 0.496
Chrf: 0.315
Bleu: 0.248
Sacrebleu: 0.2
Rouge1: 0.458
Rouge2: 0.26
Rougel: 0.435
Rougelsum: 0.456
Meteor: 0.521

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: 0.001
train_batch_size: 1
eval_batch_size: 1
seed: 3407
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 4
total_eval_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 252
training_steps: 2520

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Chrf	Bleu	Sacrebleu	Rouge1	Rouge2	Rougel	Rougelsum	Meteor
0.0421	4.0	252	3.2663	0.495	0.084	0.035	0.0	0.203	0.043	0.18	0.192	0.201
0.0562	8.0	504	2.4211	0.495	0.177	0.133	0.1	0.352	0.155	0.332	0.352	0.457
0.08	12.0	756	2.7082	0.494	0.184	0.08	0.1	0.242	0.082	0.23	0.241	0.33
0.9994	16.0	1008	2.4576	0.496	0.216	0.116	0.1	0.4	0.217	0.381	0.399	0.398
0.1476	20.0	1260	2.7555	0.497	0.159	0.051	0.1	0.274	0.064	0.259	0.262	0.196
0.3371	24.0	1512	2.2083	0.491	0.196	0.128	0.1	0.422	0.217	0.396	0.414	0.384
0.0187	28.0	1764	2.0562	0.476	0.268	0.19	0.2	0.435	0.238	0.413	0.431	0.462
0.1243	32.0	2016	2.0119	0.497	0.291	0.238	0.2	0.454	0.248	0.424	0.452	0.504
0.0295	36.0	2268	1.9499	0.479	0.309	0.244	0.2	0.443	0.253	0.43	0.441	0.527
0.027	40.0	2520	1.9251	0.496	0.315	0.248	0.2	0.458	0.26	0.435	0.456	0.521

Framework versions

Transformers 4.37.0
Pytorch 2.2.1+cu121
Datasets 2.20.0
Tokenizers 0.15.2

vdavidr/CodeLlama-7b-Instruct-hf_En__components_size_252_epochs_10_2024-06-21_16-51-46_3556559

CodeLlama-7b-Instruct-hf_En__components_size_252_epochs_10_2024-06-21_16-51-46_3556559

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

vdavidr/
CodeLlama-7b-Instruct-hf_En__components_size_252_epochs_10_2024-06-21_16-51-46_3556559