Due to hardware limitations and an insufficient amount of training data, the model has only been trained for a single epoch and is currently not functional.

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: 0.0005
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
5.9286	0.02	500	5.7197
5.2717	0.04	1000	5.1488
4.9972	0.06	1500	4.8345
4.8214	0.08	2000	4.6251
4.6272	0.1	2500	4.4807
4.5241	0.12	3000	4.3484
4.405	0.14	3500	4.2483
4.3189	0.16	4000	4.1680
4.2596	0.18	4500	4.0914
4.2569	0.2	5000	4.0341
4.1614	0.22	5500	3.9615
4.1073	0.24	6000	3.9112
4.0892	0.26	6500	3.8685
4.0151	0.28	7000	3.8277
3.903	0.3	7500	3.7787
3.9248	0.32	8000	3.7447
3.8978	0.34	8500	3.7189
3.9231	0.36	9000	3.6877
3.8936	0.38	9500	3.6479
3.7649	0.4	10000	3.6154
3.8156	0.42	10500	3.6069
3.7588	0.44	11000	3.5772
3.7559	0.46	11500	3.5517
3.814	0.48	12000	3.5230
3.7384	0.5	12500	3.5065
3.6827	0.52	13000	3.4807
3.6679	0.54	13500	3.4585
3.6838	0.56	14000	3.4419
3.7154	0.58	14500	3.4313
3.7117	0.6	15000	3.4156
3.6065	0.62	15500	3.3990
3.613	0.64	16000	3.3820
3.5824	0.66	16500	3.3702
3.6263	0.68	17000	3.3645
3.6073	0.7	17500	3.3529
3.587	0.72	18000	3.3419
3.624	0.74	18500	3.3340
3.583	0.76	19000	3.3273
3.573	0.78	19500	3.3185
3.5576	0.8	20000	3.3123
3.5623	0.82	20500	3.3103
3.5955	0.84	21000	3.3053
3.5947	0.86	21500	3.3015
3.5258	0.88	22000	3.2989
3.5985	0.9	22500	3.2962
3.5723	0.92	23000	3.2938
3.5863	0.94	23500	3.2927
3.5378	0.96	24000	3.2921
3.4952	0.98	24500	3.2919
3.5357	1.0	25000	3.2919

Framework versions

Transformers 4.51.3
Pytorch 2.5.1
Datasets 2.19.1
Tokenizers 0.21.1

Josh1207/codeparrot-ds-small

codeparrot-ds-small

Model description