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mhhmm/
typescript-instruct-20k-v4

Name: typescript-instruct-20k-v4
Availability: InStock

generated_from_trainer

codellama/CodeLlama-13b-Instruct-hf

adapter

llama2

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lora-out

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: 0.4172

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: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 16
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 10
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.7046	0.01	1	0.6695
0.6348	0.05	7	0.6183
0.5056	0.1	14	0.4993
0.5127	0.15	21	0.4682
0.4663	0.2	28	0.4552
0.5534	0.25	35	0.4419
0.5231	0.3	42	0.4369
0.5045	0.35	49	0.4338
0.5444	0.4	56	0.4314
0.4922	0.45	63	0.4296
0.487	0.5	70	0.4261
0.4627	0.55	77	0.4230
0.5143	0.6	84	0.4210
0.4429	0.65	91	0.4199
0.4491	0.71	98	0.4193
0.4808	0.76	105	0.4188
0.483	0.81	112	0.4176
0.5513	0.86	119	0.4177
0.4574	0.91	126	0.4170
0.4723	0.96	133	0.4172

mhhmm/
typescript-instruct-20k-v4

lora-out

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Training procedure

Framework versions

mhhmm/typescript-instruct-20k-v4

lora-out

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Training procedure

Framework versions

mhhmm/
typescript-instruct-20k-v4