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vdavidr/
CodeLlama-13b-Instruct-hf_Fi__components_size_252_epochs_10_2024-06-21_09-35-18_3556546

Name: CodeLlama-13b-Instruct-hf_Fi__components_size_252_epochs_10_2024-06-21_09-35-18_3556546
Availability: InStock

tensorboard

safetensors

generated_from_trainer

codellama/CodeLlama-13b-Instruct-hf

finetune

llama2

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CodeLlama-13b-Instruct-hf_Fi__components_size_252_epochs_10_2024-06-21_09-35-18_3556546

This model is a fine-tuned version of codellama/CodeLlama-13b-Instruct-hf on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.7475
Accuracy: 0.464
Chrf: 0.369
Bleu: 0.302
Sacrebleu: 0.3
Rouge1: 0.478
Rouge2: 0.294
Rougel: 0.457
Rougelsum: 0.472
Meteor: 0.575

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
0.05	4.0	252	2.7480	0.47	0.15	0.149	0.1	0.278	0.09	0.264	0.275	0.338
0.0657	8.0	504	2.3686	0.46	0.23	0.189	0.2	0.426	0.221	0.395	0.424	0.472
0.0785	12.0	756	2.5520	0.467	0.2	0.166	0.2	0.412	0.243	0.373	0.396	0.445
1.0703	16.0	1008	2.2775	0.46	0.27	0.205	0.2	0.452	0.269	0.426	0.451	0.494
0.1709	20.0	1260	2.2827	0.482	0.276	0.224	0.2	0.405	0.252	0.399	0.403	0.476
0.3803	24.0	1512	2.0205	0.463	0.28	0.241	0.2	0.424	0.277	0.411	0.417	0.522
0.0239	28.0	1764	1.8601	0.462	0.343	0.288	0.3	0.47	0.293	0.45	0.47	0.554
0.1383	32.0	2016	1.8422	0.464	0.358	0.301	0.3	0.487	0.306	0.459	0.486	0.568
0.0313	36.0	2268	1.7820	0.461	0.363	0.295	0.3	0.483	0.304	0.467	0.482	0.582
0.0352	40.0	2520	1.7475	0.464	0.369	0.302	0.3	0.478	0.294	0.457	0.472	0.575

Framework versions

Transformers 4.37.0
Pytorch 2.2.1+cu121
Datasets 2.20.0
Tokenizers 0.15.2

vdavidr/CodeLlama-13b-Instruct-hf_Fi__components_size_252_epochs_10_2024-06-21_09-35-18_3556546

CodeLlama-13b-Instruct-hf_Fi__components_size_252_epochs_10_2024-06-21_09-35-18_3556546

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

vdavidr/
CodeLlama-13b-Instruct-hf_Fi__components_size_252_epochs_10_2024-06-21_09-35-18_3556546