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BenMurphy124/
distilbert-imdb-lr0.0001-r16

Name: distilbert-imdb-lr0.0001-r16
Availability: InStock

distilbert/distilbert-base-uncased

apache-2.0

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distilbert-imdb-lr0.0001-r16

This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2241
Accuracy: 0.9148
F1: 0.9158

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: 0.0001
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.3572	0.08	100	0.3466	0.8566	0.8466
0.3197	0.16	200	0.2927	0.8768	0.8731
0.2522	0.24	300	0.2990	0.8836	0.8808
0.2630	0.32	400	0.2706	0.8914	0.8883
0.2476	0.4	500	0.2957	0.8852	0.8798
0.3060	0.48	600	0.2620	0.889	0.8925
0.3170	0.56	700	0.2578	0.8946	0.8907
0.2985	0.64	800	0.2453	0.8974	0.8958
0.2812	0.72	900	0.2460	0.9024	0.9049
0.2522	0.8	1000	0.2762	0.891	0.8973
0.2186	0.88	1100	0.2420	0.9056	0.9062
0.2341	0.96	1200	0.2447	0.9072	0.9066
0.2767	1.04	1300	0.2312	0.9086	0.9088
0.2549	1.12	1400	0.2314	0.9072	0.9076
0.2195	1.2	1500	0.2372	0.9064	0.9064
0.2584	1.28	1600	0.2247	0.9098	0.9104
0.2017	1.3600	1700	0.2345	0.909	0.9082
0.2519	1.44	1800	0.2219	0.9094	0.9100
0.2099	1.52	1900	0.2300	0.9076	0.9061
0.2226	1.6	2000	0.2419	0.9082	0.9107
0.1971	1.6800	2100	0.2438	0.909	0.9060
0.2184	1.76	2200	0.2432	0.9076	0.9047
0.2479	1.8400	2300	0.2220	0.91	0.9106
0.2481	1.92	2400	0.2236	0.9094	0.9096
0.2405	2.0	2500	0.2281	0.9058	0.9087
0.2263	2.08	2600	0.2161	0.9102	0.9102
0.1433	2.16	2700	0.2418	0.9092	0.9084
0.2452	2.24	2800	0.2279	0.9094	0.9078
0.2088	2.32	2900	0.2361	0.9092	0.9119
0.2401	2.4	3000	0.2399	0.908	0.9044
0.1839	2.48	3100	0.2223	0.9128	0.9122
0.1914	2.56	3200	0.2252	0.9134	0.9146
0.2101	2.64	3300	0.2306	0.9112	0.9134
0.2046	2.7200	3400	0.2268	0.9114	0.9100
0.2022	2.8	3500	0.2241	0.9148	0.9158
0.2049	2.88	3600	0.2200	0.9146	0.9142
0.1790	2.96	3700	0.2207	0.915	0.9148

Framework versions

PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

BenMurphy124/distilbert-imdb-lr0.0001-r16

distilbert-imdb-lr0.0001-r16

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

BenMurphy124/
distilbert-imdb-lr0.0001-r16