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BenMurphy124/
distilbert-imdb-sentiment

Name: distilbert-imdb-sentiment
Availability: InStock

distilbert/distilbert-base-uncased

apache-2.0

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distilbert-imdb-sentiment

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: 0.2262
Accuracy: 0.9218
F1: 0.9214

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: 0.0005
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
lr_scheduler_warmup_steps: 100
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.2264	0.08	100	0.3893	0.864	0.8744
0.3180	0.16	200	0.2701	0.8896	0.8857
0.2628	0.24	300	0.2821	0.8868	0.8936
0.2503	0.32	400	0.2465	0.9036	0.9034
0.2481	0.4	500	0.2494	0.8984	0.8982
0.3159	0.48	600	0.2402	0.9014	0.9003
0.2986	0.56	700	0.3256	0.8676	0.8522
0.2631	0.64	800	0.2726	0.8872	0.8933
0.2616	0.72	900	0.2374	0.9092	0.9113
0.2364	0.8	1000	0.2646	0.8912	0.8979
0.2267	0.88	1100	0.2134	0.9142	0.9128
0.2442	0.96	1200	0.2393	0.9114	0.9084
0.2556	1.04	1300	0.2153	0.9154	0.9143
0.2383	1.12	1400	0.2419	0.9122	0.9123
0.1912	1.2	1500	0.2453	0.9158	0.9179
0.2144	1.28	1600	0.2194	0.918	0.9186
0.1782	1.3600	1700	0.2351	0.9162	0.9144
0.2313	1.44	1800	0.2117	0.9182	0.9181
0.1886	1.52	1900	0.2242	0.917	0.9153
0.1804	1.6	2000	0.2349	0.9158	0.9158
0.1815	1.6800	2100	0.2335	0.9126	0.9099
0.1998	1.76	2200	0.2230	0.9168	0.9149
0.2260	1.8400	2300	0.2098	0.9182	0.9187
0.2221	1.92	2400	0.2163	0.9198	0.9186
0.2109	2.0	2500	0.2110	0.917	0.9185
0.1790	2.08	2600	0.2110	0.9212	0.9215
0.1052	2.16	2700	0.2595	0.9198	0.9191
0.1776	2.24	2800	0.2188	0.921	0.9206
0.1657	2.32	2900	0.2433	0.9164	0.9187
0.1806	2.4	3000	0.2351	0.9116	0.9085
0.1417	2.48	3100	0.2285	0.9228	0.9225
0.1536	2.56	3200	0.2274	0.924	0.9250
0.1368	2.64	3300	0.2276	0.9244	0.9250
0.1470	2.7200	3400	0.2392	0.9208	0.9201
0.1332	2.8	3500	0.2314	0.9234	0.9241
0.1644	2.88	3600	0.2251	0.9226	0.9224
0.1189	2.96	3700	0.2262	0.9218	0.9214

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-sentiment

distilbert-imdb-sentiment

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

BenMurphy124/
distilbert-imdb-sentiment