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jdeklerk10/
OCI-DS-6.7B-schema-linking_1

Name: OCI-DS-6.7B-schema-linking_1
Availability: InStock

generated_from_trainer

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

adapter

apache-2.0

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OCI-DS-6.7B-schema-linking_1

This model is a fine-tuned version of m-a-p/OpenCodeInterpreter-DS-6.7B on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7197

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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.01
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.4609	0.19	50	0.6526
0.3921	0.38	100	0.6651
0.3486	0.57	150	0.6896
0.298	0.76	200	0.7174
0.2739	0.95	250	0.7197

Framework versions

PEFT 0.10.0
Transformers 4.40.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

jdeklerk10/OCI-DS-6.7B-schema-linking_1

OCI-DS-6.7B-schema-linking_1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jdeklerk10/
OCI-DS-6.7B-schema-linking_1