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Etelis/
TweetEval_ELECTRA_5E

Name: TweetEval_ELECTRA_5E
Availability: InStock

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TweetEval_ELECTRA_5E

This model is a fine-tuned version of google/electra-small-discriminator on the tweet_eval dataset. It achieves the following results on the evaluation set:

Loss: 0.2935
Accuracy: 0.9067

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: 1e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6466	0.04	50	0.6006	0.7333
0.5974	0.08	100	0.5769	0.7333
0.5884	0.12	150	0.5486	0.7333
0.5601	0.16	200	0.4799	0.76
0.5125	0.2	250	0.4380	0.8533
0.4603	0.24	300	0.4169	0.84
0.4353	0.28	350	0.3775	0.86
0.4498	0.32	400	0.3460	0.9
0.4014	0.37	450	0.3812	0.8467
0.4072	0.41	500	0.3383	0.88
0.3891	0.45	550	0.3377	0.88
0.3482	0.49	600	0.3289	0.8933
0.3705	0.53	650	0.3162	0.8933
0.3249	0.57	700	0.2967	0.9
0.332	0.61	750	0.2925	0.8867
0.3166	0.65	800	0.2916	0.9067
0.334	0.69	850	0.3083	0.8667
0.3039	0.73	900	0.2966	0.8867
0.3066	0.77	950	0.3054	0.88
0.3238	0.81	1000	0.3060	0.88
0.308	0.85	1050	0.3103	0.88
0.2889	0.89	1100	0.2922	0.88
0.2773	0.93	1150	0.2986	0.8933
0.3078	0.97	1200	0.2852	0.8933
0.2529	1.01	1250	0.2957	0.8933
0.2968	1.06	1300	0.2893	0.8867
0.2536	1.1	1350	0.2902	0.88
0.2836	1.14	1400	0.3085	0.88
0.3066	1.18	1450	0.2909	0.88
0.28	1.22	1500	0.2953	0.8867
0.2549	1.26	1550	0.3019	0.8867
0.2974	1.3	1600	0.2796	0.88
0.2808	1.34	1650	0.2762	0.9
0.2548	1.38	1700	0.2808	0.9
0.2879	1.42	1750	0.2819	0.8933
0.2583	1.46	1800	0.2904	0.88
0.2387	1.5	1850	0.3016	0.8733
0.2574	1.54	1900	0.2981	0.8933
0.2589	1.58	1950	0.2907	0.8933
0.2436	1.62	2000	0.2926	0.8867
0.2606	1.66	2050	0.2807	0.8933
0.2841	1.7	2100	0.2805	0.9
0.2497	1.75	2150	0.2765	0.8867
0.2866	1.79	2200	0.2821	0.9
0.2614	1.83	2250	0.2759	0.8867
0.2605	1.87	2300	0.2704	0.8933
0.2365	1.91	2350	0.2623	0.9
0.2274	1.95	2400	0.2651	0.8933
0.2564	1.99	2450	0.2664	0.9
0.2481	2.03	2500	0.2706	0.9
0.2382	2.07	2550	0.2819	0.8933
0.2351	2.11	2600	0.2848	0.9
0.18	2.15	2650	0.2881	0.8933
0.2343	2.19	2700	0.2983	0.9
0.2043	2.23	2750	0.2908	0.8933
0.2272	2.27	2800	0.3000	0.8867
0.246	2.31	2850	0.3136	0.8867
0.2577	2.35	2900	0.3126	0.88
0.2316	2.39	2950	0.2803	0.8933
0.2156	2.44	3000	0.2737	0.9067
0.223	2.48	3050	0.2883	0.8933
0.2215	2.52	3100	0.2660	0.8867
0.2488	2.56	3150	0.2551	0.9
0.2095	2.6	3200	0.2645	0.9
0.2247	2.64	3250	0.2751	0.8933
0.2292	2.68	3300	0.2851	0.8867
0.237	2.72	3350	0.2824	0.8867
0.2086	2.76	3400	0.2805	0.8867
0.2063	2.8	3450	0.2771	0.9
0.2015	2.84	3500	0.2981	0.8933
0.2036	2.88	3550	0.2937	0.8933
0.247	2.92	3600	0.2985	0.8933
0.23	2.96	3650	0.2866	0.9067
0.2625	3.0	3700	0.2836	0.9
0.2064	3.04	3750	0.2911	0.8933
0.1867	3.08	3800	0.2868	0.8933
0.2143	3.12	3850	0.2903	0.9
0.1993	3.17	3900	0.2987	0.8933
0.1762	3.21	3950	0.3066	0.9067
0.1935	3.25	4000	0.3185	0.8867
0.234	3.29	4050	0.3043	0.9067
0.195	3.33	4100	0.2905	0.9067
0.2434	3.37	4150	0.3081	0.9
0.2168	3.41	4200	0.2919	0.9067
0.2044	3.45	4250	0.2903	0.9
0.2419	3.49	4300	0.2955	0.8933
0.191	3.53	4350	0.2957	0.9067
0.1927	3.57	4400	0.3075	0.8933
0.2267	3.61	4450	0.2823	0.9067
0.1971	3.65	4500	0.2933	0.9067
0.2164	3.69	4550	0.2910	0.9067
0.1939	3.73	4600	0.2813	0.9067
0.1834	3.77	4650	0.2913	0.9067
0.234	3.81	4700	0.2841	0.9067
0.2226	3.86	4750	0.2888	0.9067
0.2176	3.9	4800	0.2902	0.9067
0.2279	3.94	4850	0.2842	0.9067
0.1948	3.98	4900	0.2856	0.9067
0.2044	4.02	4950	0.2845	0.9067
0.2075	4.06	5000	0.2825	0.9067
0.1721	4.1	5050	0.2796	0.9067
0.2206	4.14	5100	0.2752	0.9067
0.2012	4.18	5150	0.2738	0.9067
0.1868	4.22	5200	0.2932	0.9
0.2117	4.26	5250	0.2881	0.9
0.1946	4.3	5300	0.2985	0.9
0.2138	4.34	5350	0.3025	0.8933
0.1841	4.38	5400	0.2906	0.9067
0.2171	4.42	5450	0.2919	0.9067
0.2116	4.46	5500	0.2889	0.9067
0.162	4.5	5550	0.2994	0.8933
0.1821	4.55	5600	0.2975	0.9
0.1802	4.59	5650	0.2994	0.9
0.1619	4.63	5700	0.2978	0.9
0.1955	4.67	5750	0.2984	0.9
0.2031	4.71	5800	0.2925	0.9067
0.1937	4.75	5850	0.2939	0.9067
0.1799	4.79	5900	0.2955	0.9067
0.2106	4.83	5950	0.2965	0.9067
0.196	4.87	6000	0.2954	0.9067
0.2336	4.91	6050	0.2932	0.9067
0.1805	4.95	6100	0.2931	0.9067
0.1877	4.99	6150	0.2935	0.9067

Framework versions

Transformers 4.24.0
Pytorch 1.13.0
Datasets 2.7.1
Tokenizers 0.13.2

Etelis/TweetEval_ELECTRA_5E

TweetEval_ELECTRA_5E

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Etelis/
TweetEval_ELECTRA_5E