mBart-small-dataset-ii-eng-lim-004

bedus-creation/mBart-small-dataset-ii-eng-lim-004

mBart-small-dataset-ii-eng-lim-004 is a machine learning model from bedus-creation. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.

probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Sep 29, 2023
Updated: Sep 30, 2023
SHA: 73063453

Base models

bedus-creation/mBart-small-dataset-i-eng-lim

Model card

From the Hugging Face model README

bedus-creation/mBart-small-dataset-ii-eng-lim-004

This model is a fine-tuned version of bedus-creation/mBart-small-dataset-i-eng-lim on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.1507
Validation Loss: 0.4808
Epoch: 149

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:

optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 1e-04, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
0.9940	0.4653	0
0.4659	0.3647	1
0.4011	0.3331	2
0.3798	0.3284	3
0.3640	0.3210	4
0.3539	0.3087	5
0.3456	0.3106	6
0.3377	0.3049	7
0.3340	0.2998	8
0.3285	0.2974	9
0.3246	0.2980	10
0.3202	0.2950	11
0.3174	0.2910	12
0.3154	0.2932	13
0.3124	0.2882	14
0.3094	0.2895	15
0.3092	0.2880	16
0.3073	0.2861	17
0.3043	0.2842	18
0.3037	0.2856	19
0.3009	0.2834	20
0.2999	0.2859	21
0.2983	0.2836	22
0.2973	0.2809	23
0.2952	0.2825	24
0.2942	0.2809	25
0.2933	0.2792	26
0.2914	0.2813	27
0.2898	0.2817	28
0.2884	0.2794	29
0.2866	0.2797	30
0.2853	0.2797	31
0.2849	0.2844	32
0.2835	0.2798	33
0.2821	0.2803	34
0.2823	0.2828	35
0.2798	0.2796	36
0.2797	0.2788	37
0.2766	0.2811	38
0.2765	0.2800	39
0.2747	0.2852	40
0.2731	0.2825	41
0.2720	0.2841	42
0.2709	0.2855	43
0.2693	0.2843	44
0.2678	0.2863	45
0.2667	0.2912	46
0.2645	0.2863	47
0.2633	0.2862	48
0.2618	0.2881	49
0.2607	0.2890	50
0.2585	0.2928	51
0.2585	0.2903	52
0.2562	0.2904	53
0.2545	0.2902	54
0.2541	0.2937	55
0.2528	0.2930	56
0.2512	0.3014	57
0.2484	0.2979	58
0.2478	0.3002	59
0.2460	0.3034	60
0.2449	0.3000	61
0.2442	0.3010	62
0.2418	0.3054	63
0.2399	0.3046	64
0.2395	0.3072	65
0.2374	0.3117	66
0.2368	0.3081	67
0.2351	0.3149	68
0.2334	0.3155	69
0.2335	0.3123	70
0.2310	0.3193	71
0.2296	0.3169	72
0.2277	0.3220	73
0.2275	0.3200	74
0.2248	0.3223	75
0.2253	0.3235	76
0.2224	0.3266	77
0.2225	0.3289	78
0.2201	0.3288	79
0.2188	0.3330	80
0.2158	0.3389	81
0.2157	0.3379	82
0.2145	0.3447	83
0.2135	0.3436	84
0.2128	0.3525	85
0.2116	0.3464	86
0.2104	0.3494	87
0.2081	0.3540	88
0.2071	0.3561	89
0.2059	0.3598	90
0.2043	0.3608	91
0.2032	0.3721	92
0.2027	0.3668	93
0.2022	0.3608	94
0.2012	0.3675	95
0.1997	0.3695	96
0.1974	0.3703	97
0.1953	0.3704	98
0.1961	0.3744	99
0.1949	0.3669	100
0.1948	0.3772	101
0.1922	0.3772	102
0.1906	0.3775	103
0.1904	0.3803	104
0.1901	0.3873	105
0.1881	0.3880	106
0.1868	0.3921	107
0.1867	0.3933	108
0.1848	0.3928	109
0.1848	0.3894	110
0.1835	0.3983	111
0.1818	0.3985	112
0.1816	0.4025	113
0.1814	0.4023	114
0.1796	0.4089	115
0.1774	0.4137	116
0.1770	0.4162	117
0.1772	0.4145	118
0.1748	0.4173	119
0.1750	0.4226	120
0.1730	0.4262	121
0.1729	0.4208	122
0.1727	0.4161	123
0.1710	0.4221	124
0.1712	0.4267	125
0.1688	0.4319	126
0.1679	0.4339	127
0.1681	0.4388	128
0.1660	0.4455	129
0.1666	0.4419	130
0.1662	0.4351	131
0.1642	0.4405	132
0.1633	0.4486	133
0.1631	0.4483	134
0.1617	0.4470	135
0.1608	0.4542	136
0.1591	0.4589	137
0.1597	0.4482	138
0.1573	0.4584	139
0.1576	0.4552	140
0.1578	0.4612	141
0.1553	0.4602	142
0.1554	0.4616	143
0.1539	0.4653	144
0.1536	0.4658	145
0.1528	0.4671	146
0.1531	0.4758	147
0.1521	0.4708	148
0.1507	0.4808	149

Framework versions

Transformers 4.33.3
TensorFlow 2.13.0
Datasets 2.14.5
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: Sep 29, 2023
Updated: Sep 30, 2023