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phonemetransformers/childes-stress-2M-gpt2_lm-model

sourceHugging Faceupdated 2y agoView on Hugging Face

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childes-stress-2M-gpt2_lm-model

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. It achieves the following results on the evaluation set:

—Loss: 7.9708
—Model Preparation Time: 0.0016
—Perplexity: 2895.0868
—Bpc: 11.4994
—Spike Seg Type Fscore Entropy: 0.2067
—Spike Seg Boundary Fscore Entropy: 0.4481
—Absolute Seg Type Fscore Entropy: 0.1798
—Absolute Seg Boundary Fscore Entropy: 0.4791
—Spike Seg Type Fscore Increase in entropy: 0.2187
—Spike Seg Boundary Fscore Increase in entropy: 0.4770
—Absolute Seg Type Fscore Increase in entropy: 0.2032
—Absolute Seg Boundary Fscore Increase in entropy: 0.5150
—Spike Seg Type Fscore Loss: 0.2612
—Spike Seg Boundary Fscore Loss: 0.5706
—Absolute Seg Type Fscore Loss: 0.2264
—Absolute Seg Boundary Fscore Loss: 0.5269
—Spike Seg Type Fscore Increase in loss: 0.2941
—Spike Seg Boundary Fscore Increase in loss: 0.6220
—Absolute Seg Type Fscore Increase in loss: 0.3082
—Absolute Seg Boundary Fscore Increase in loss: 0.6197
—Spike Seg Type Fscore Rank: 0.3145
—Spike Seg Boundary Fscore Rank: 0.5959
—Absolute Seg Type Fscore Rank: 0.2686
—Absolute Seg Boundary Fscore Rank: 0.5516
—Spike Seg Type Fscore Increase in rank: 0.3409
—Spike Seg Boundary Fscore Increase in rank: 0.6536
—Absolute Seg Type Fscore Increase in rank: 0.3755
—Absolute Seg Boundary Fscore Increase in rank: 0.6687
—Spike Seg Type Fscore Boundary prediction: 0.3392
—Spike Seg Boundary Fscore Boundary prediction: 0.6848
—Absolute Seg Type Fscore Boundary prediction: 0.2140
—Absolute Seg Boundary Fscore Boundary prediction: 0.3406
—Spike Seg Type Fscore Increase in boundary prediction: 0.3321
—Spike Seg Boundary Fscore Increase in boundary prediction: 0.6838
—Absolute Seg Type Fscore Increase in boundary prediction: 0.2150
—Absolute Seg Boundary Fscore Increase in boundary prediction: 0.4209
—Spike Seg Type Fscore Majority vote cutoff: 0.3446
—Spike Seg Type Fscore Majority vote spike: 0.3101
—Absolute Seg Type Fscore Majority vote cutoff: 0.2717
—Absolute Seg Type Fscore Majority vote spike: 0.3601
—Spike Seg Boundary Fscore Majority vote cutoff: 0.6581
—Spike Seg Boundary Fscore Majority vote spike: 0.6568
—Absolute Seg Boundary Fscore Majority vote cutoff: 0.6358
—Absolute Seg Boundary Fscore Majority vote spike: 0.6675

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: 0.001
—trainbatchsize: 32
—evalbatchsize: 32
—seed: 42
—optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
—lrschedulertype: linear
—lrschedulerwarmup_steps: 60000
—training_steps: 200000

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Perplexity	Bpc	Spike Seg Type Fscore Entropy	Spike Seg Boundary Fscore Entropy	Absolute Seg Type Fscore Entropy	Absolute Seg Boundary Fscore Entropy	Spike Seg Type Fscore Increase in entropy	Spike Seg Boundary Fscore Increase in entropy	Absolute Seg Type Fscore Increase in entropy	Absolute Seg Boundary Fscore Increase in entropy	Spike Seg Type Fscore Loss	Spike Seg Boundary Fscore Loss	Absolute Seg Type Fscore Loss	Absolute Seg Boundary Fscore Loss	Spike Seg Type Fscore Increase in loss	Spike Seg Boundary Fscore Increase in loss	Absolute Seg Type Fscore Increase in loss	Absolute Seg Boundary Fscore Increase in loss	Spike Seg Type Fscore Rank	Spike Seg Boundary Fscore Rank	Absolute Seg Type Fscore Rank	Absolute Seg Boundary Fscore Rank	Spike Seg Type Fscore Increase in rank	Spike Seg Boundary Fscore Increase in rank	Absolute Seg Type Fscore Increase in rank	Absolute Seg Boundary Fscore Increase in rank	Spike Seg Type Fscore Boundary prediction	Spike Seg Boundary Fscore Boundary prediction	Absolute Seg Type Fscore Boundary prediction	Absolute Seg Boundary Fscore Boundary prediction	Spike Seg Type Fscore Increase in boundary prediction	Spike Seg Boundary Fscore Increase in boundary prediction	Absolute Seg Type Fscore Increase in boundary prediction	Absolute Seg Boundary Fscore Increase in boundary prediction	Spike Seg Type Fscore Majority vote cutoff	Spike Seg Type Fscore Majority vote spike	Absolute Seg Type Fscore Majority vote cutoff	Absolute Seg Type Fscore Majority vote spike	Spike Seg Boundary Fscore Majority vote cutoff	Spike Seg Boundary Fscore Majority vote spike	Absolute Seg Boundary Fscore Majority vote cutoff	Absolute Seg Boundary Fscore Majority vote spike
0.4825	454.5455	20000	4.1264	0.0016	61.9543	5.9531	0.2256	0.4815	0.2097	0.4823	0.2411	0.5340	0.2484	0.5569	0.2572	0.5677	0.2273	0.5372	0.3003	0.6290	0.3134	0.6268	0.3030	0.5914	0.2349	0.5530	0.3433	0.6535	0.3768	0.6652	0.3515	0.6985	0.2450	0.5072	0.3431	0.6940	0.2138	0.6321	0.3576	0.3138	0.3229	0.3663	0.7022	0.6717	0.6692	0.6868
0.2255	909.0909	40000	5.1006	0.0016	164.1283	7.3587	0.2141	0.4628	0.1905	0.4512	0.2314	0.5039	0.2276	0.5519	0.2580	0.5630	0.2270	0.5307	0.2967	0.6218	0.3118	0.6221	0.2981	0.5898	0.2652	0.5537	0.3452	0.6572	0.3776	0.6669	0.3574	0.7071	0.2221	0.5779	0.3467	0.7039	0.2686	0.4218	0.3450	0.3088	0.3193	0.3663	0.6814	0.6654	0.6549	0.6825
0.1577	1363.6364	60000	5.4693	0.0016	237.2956	7.8905	0.2090	0.4570	0.1852	0.4701	0.2280	0.4977	0.2243	0.5387	0.2753	0.5811	0.2326	0.5408	0.3033	0.6299	0.3135	0.6325	0.3117	0.6077	0.2659	0.5544	0.3391	0.6626	0.3748	0.6695	0.3441	0.6995	0.2076	0.3429	0.3391	0.6954	0.2226	0.6231	0.3345	0.3112	0.2856	0.3637	0.6902	0.6682	0.6665	0.6812
0.1008	1818.1818	80000	6.1269	0.0016	458.0142	8.8392	0.2112	0.4551	0.1920	0.4829	0.2165	0.4864	0.2200	0.5342	0.2644	0.5711	0.2366	0.5336	0.2984	0.6279	0.3059	0.6244	0.3109	0.5995	0.2625	0.5570	0.3406	0.6571	0.3755	0.6692	0.3422	0.7004	0.2224	0.2955	0.3389	0.6964	0.2327	0.5385	0.3465	0.3159	0.3283	0.3535	0.6832	0.6626	0.6529	0.6766
0.0771	2272.7273	100000	6.4636	0.0016	641.3384	9.3249	0.1996	0.4424	0.1907	0.4650	0.2227	0.4780	0.2106	0.5131	0.2648	0.5752	0.2320	0.5385	0.2918	0.6237	0.3157	0.6243	0.3035	0.5964	0.2484	0.5576	0.3386	0.6516	0.3786	0.6683	0.3385	0.6913	0.2161	0.4527	0.3341	0.6917	0.2154	0.5585	0.3419	0.3162	0.2745	0.3507	0.6805	0.6561	0.6434	0.6676
0.0638	2727.2727	120000	6.8514	0.0016	945.2117	9.8845	0.2155	0.4643	0.1968	0.4782	0.2232	0.4921	0.2186	0.5323	0.2565	0.5683	0.2267	0.5227	0.2918	0.6235	0.3115	0.6170	0.3115	0.5972	0.2679	0.5507	0.3295	0.6514	0.3747	0.6666	0.3406	0.6929	0.2318	0.3792	0.3331	0.6924	0.2503	0.4232	0.3499	0.3078	0.2911	0.3603	0.6652	0.6596	0.6481	0.6726
0.0547	3181.8182	140000	7.1784	0.0016	1310.8231	10.3563	0.2053	0.4533	0.1842	0.4799	0.2195	0.4819	0.2102	0.4362	0.2603	0.5735	0.2032	0.5370	0.2943	0.6288	0.3220	0.6278	0.3097	0.6009	0.2762	0.5541	0.3360	0.6540	0.3778	0.6700	0.3407	0.6930	0.2287	0.2711	0.3339	0.6882	0.2271	0.4295	0.3516	0.3155	0.3017	0.3533	0.6618	0.6644	0.6094	0.6756
0.0472	3636.3636	160000	7.4968	0.0016	1802.2409	10.8156	0.2086	0.4553	0.1858	0.4807	0.2185	0.4777	0.2100	0.5090	0.2601	0.5730	0.2272	0.5362	0.2901	0.6216	0.3136	0.6193	0.3096	0.5976	0.2545	0.5516	0.3347	0.6545	0.3761	0.6672	0.3379	0.6883	0.2265	0.3301	0.3379	0.6864	0.2140	0.4215	0.3469	0.3048	0.3068	0.3635	0.6569	0.6554	0.6315	0.6689
0.0415	4090.9091	180000	7.7746	0.0016	2379.2836	11.2163	0.2087	0.4528	0.1824	0.4688	0.2141	0.4719	0.2117	0.5048	0.2615	0.5674	0.2262	0.5356	0.2976	0.6240	0.3168	0.6188	0.3114	0.5937	0.2187	0.5510	0.3404	0.6518	0.3791	0.6686	0.3397	0.6957	0.2138	0.4257	0.3344	0.6909	0.2108	0.4215	0.3442	0.3150	0.2995	0.3660	0.6561	0.6563	0.6354	0.6714
0.0375	4545.4545	200000	7.9708	0.0016	2895.0868	11.4994	0.2067	0.4481	0.1798	0.4791	0.2187	0.4770	0.2032	0.5150	0.2612	0.5706	0.2264	0.5269	0.2941	0.6220	0.3082	0.6197	0.3145	0.5959	0.2686	0.5516	0.3409	0.6536	0.3755	0.6687	0.3392	0.6848	0.2140	0.3406	0.3321	0.6838	0.2150	0.4209	0.3446	0.3101	0.2717	0.3601	0.6581	0.6568	0.6358	0.6675

Framework versions

—Transformers 4.44.2
—Pytorch 2.4.0+cu118
—Datasets 2.18.0
—Tokenizers 0.19.1