wav2vec2-conformer-rel-pos-large-960h-ft-intent-classification-ori

This model is a fine-tuned version of facebook/wav2vec2-conformer-rel-pos-large-960h-ft on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.2518
• Accuracy: 0.5833

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: 3e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 45

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.2018	1.0	28	2.1963	0.125
2.1871	2.0	56	2.1715	0.3333
2.1499	3.0	84	2.1349	0.3333
2.1236	4.0	112	2.0749	0.3333
2.0814	5.0	140	2.0232	0.3333
2.0905	6.0	168	1.9028	0.375
1.9167	7.0	196	1.8469	0.3958
1.7048	8.0	224	1.6481	0.4583
1.4723	9.0	252	1.5350	0.4583
1.5265	10.0	280	1.4526	0.5
1.2621	11.0	308	1.4451	0.4583
1.5083	12.0	336	1.3296	0.4792
1.1857	13.0	364	1.2983	0.4792
1.3449	14.0	392	1.3026	0.4792
1.2061	15.0	420	1.3181	0.4792
1.2544	16.0	448	1.2603	0.4792
1.0731	17.0	476	1.2607	0.4792
0.8836	18.0	504	1.2644	0.4792
1.0917	19.0	532	1.2345	0.4792
1.0786	20.0	560	1.2791	0.4792
1.1616	21.0	588	1.2238	0.4792
1.0614	22.0	616	1.2305	0.4583
0.9617	23.0	644	1.2315	0.4792
0.9652	24.0	672	1.2931	0.4792
0.9042	25.0	700	1.1246	0.5
1.0865	26.0	728	1.1490	0.4792
0.9653	27.0	756	1.1713	0.5
0.858	28.0	784	1.1726	0.5208
0.8364	29.0	812	1.2142	0.5
0.6798	30.0	840	1.2163	0.5208
0.9284	31.0	868	1.1398	0.4792
0.7383	32.0	896	1.2418	0.5208
0.651	33.0	924	1.1734	0.5
0.7416	34.0	952	1.2285	0.5
0.6287	35.0	980	1.1467	0.5833
0.6806	36.0	1008	1.1589	0.5625
0.6148	37.0	1036	1.1373	0.5833
0.7174	38.0	1064	1.2118	0.5625
0.6056	39.0	1092	1.2205	0.5833
0.7041	40.0	1120	1.2408	0.5833
0.631	41.0	1148	1.2350	0.5833
0.6028	42.0	1176	1.2787	0.5833
0.5942	43.0	1204	1.2463	0.5833
0.5441	44.0	1232	1.2496	0.5833
0.5042	45.0	1260	1.2518	0.5833

Framework versions

• Transformers 4.20.1
• Pytorch 1.11.0
• Datasets 2.1.0
• Tokenizers 0.12.1