OpenCodeInterpreter-DS-6.7B_En__components_size_252_epochs_10_2024-06-21_09-46-21_3556554

vdavidr/OpenCodeInterpreter-DS-6.7B_En__components_size_252_epochs_10_2024-06-21_09-46-21_3556554

OpenCodeInterpreter-DS-6.7B_En__components_size_252_epochs_10_2024-06-21_09-46-21_3556554 is a machine learning model from vdavidr. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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Public

Updated Jun 21, 2024

Repo size

6.1 GB

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Hugging Face

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At a glance

License: apache-2.0
Access: Public
Created: Jun 21, 2024
Updated: Jun 21, 2024
SHA: 1071fb73

Base models

m-a-p/OpenCodeInterpreter-DS-6.7B

Model card

From the Hugging Face model README

OpenCodeInterpreter-DS-6.7B_En__components_size_252_epochs_10_2024-06-21_09-46-21_3556554

This model is a fine-tuned version of m-a-p/OpenCodeInterpreter-DS-6.7B on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.5900
Accuracy: 0.514
Chrf: 0.06
Bleu: 0.02
Sacrebleu: 0.0
Rouge1: 0.058
Rouge2: 0.0
Rougel: 0.058
Rougelsum: 0.058
Meteor: 0.155

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
0.0295	4.0	252	1.4806	0.466	0.566	0.372	0.4	0.497	0.251	0.418	0.481	0.474
0.0749	8.0	504	2.8206	0.501	0.187	0.134	0.1	0.305	0.115	0.274	0.297	0.244
0.1239	12.0	756	3.8491	0.489	0.043	0.0	0.0	0.01	0.0	0.007	0.01	0.093
1.2844	16.0	1008	3.9696	0.463	0.029	0.0	0.0	0.005	0.0	0.005	0.005	0.132
0.2183	20.0	1260	3.9671	0.462	0.031	0.0	0.0	0.003	0.0	0.003	0.003	0.132
0.5107	24.0	1512	3.8342	0.482	0.047	0.0	0.0	0.003	0.0	0.003	0.003	0.119
0.0534	28.0	1764	3.7173	0.507	0.059	0.0	0.0	0.056	0.0	0.053	0.056	0.146
0.2079	32.0	2016	3.6924	0.522	0.047	0.0	0.0	0.053	0.0	0.053	0.053	0.154
0.0699	36.0	2268	3.6272	0.523	0.046	0.019	0.0	0.048	0.0	0.048	0.048	0.162
0.0702	40.0	2520	3.5900	0.514	0.06	0.02	0.0	0.058	0.0	0.058	0.058	0.155

Framework versions

Transformers 4.37.0
Pytorch 2.2.1+cu121
Datasets 2.20.0
Tokenizers 0.15.2

License: apache-2.0
Created: Jun 21, 2024
Updated: Jun 21, 2024