mini_molformer_gsf_6epochs

victornica/mini_molformer_gsf_6epochs

mini_molformer_gsf_6epochs is a text generation model from victornica. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.

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

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At a glance

Task: Text Generation
Library: transformers
License: mit
Model type: gpt2
Access: Public
Created: Aug 30, 2023
Updated: Aug 31, 2023
SHA: d599f3b5

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Model card

From the Hugging Face model README

mini_molformer_gsf_6epochs

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6470

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: 0.0006
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss
1.7953	0.1	1000	1.0871
1.0284	0.19	2000	0.9575
0.9463	0.29	3000	0.9099
0.9048	0.39	4000	0.8758
0.877	0.48	5000	0.8517
0.8573	0.58	6000	0.8323
0.8399	0.68	7000	0.8176
0.8276	0.77	8000	0.8127
0.8164	0.87	9000	0.8037
0.8071	0.97	10000	0.7889
0.7969	1.07	11000	0.7815
0.7901	1.16	12000	0.7742
0.7844	1.26	13000	0.7710
0.778	1.36	14000	0.7633
0.7732	1.45	15000	0.7605
0.7695	1.55	16000	0.7567
0.7646	1.65	17000	0.7486
0.7606	1.74	18000	0.7462
0.7576	1.84	19000	0.7434
0.7539	1.94	20000	0.7376
0.7484	2.03	21000	0.7343
0.7423	2.13	22000	0.7318
0.7403	2.23	23000	0.7270
0.7364	2.32	24000	0.7274
0.7341	2.42	25000	0.7206
0.7321	2.52	26000	0.7204
0.728	2.61	27000	0.7152
0.7253	2.71	28000	0.7131
0.7224	2.81	29000	0.7099
0.7198	2.91	30000	0.7073
0.7166	3.0	31000	0.7039
0.7079	3.1	32000	0.7009
0.7074	3.2	33000	0.6980
0.7051	3.29	34000	0.6951
0.703	3.39	35000	0.6924
0.7008	3.49	36000	0.6895
0.6971	3.58	37000	0.6873
0.6943	3.68	38000	0.6854
0.6931	3.78	39000	0.6814
0.6899	3.87	40000	0.6799
0.6874	3.97	41000	0.6770
0.6805	4.07	42000	0.6740
0.6762	4.16	43000	0.6722
0.6753	4.26	44000	0.6689
0.6721	4.36	45000	0.6668
0.671	4.45	46000	0.6643
0.6686	4.55	47000	0.6627
0.6664	4.65	48000	0.6604
0.6654	4.75	49000	0.6581
0.6635	4.84	50000	0.6565
0.6617	4.94	51000	0.6548
0.6577	5.04	52000	0.6532
0.6527	5.13	53000	0.6522
0.6514	5.23	54000	0.6508
0.6501	5.33	55000	0.6498
0.6494	5.42	56000	0.6489
0.6484	5.52	57000	0.6483
0.6484	5.62	58000	0.6477
0.6474	5.71	59000	0.6473
0.6478	5.81	60000	0.6471
0.6474	5.91	61000	0.6470

Framework versions

Transformers 4.30.2
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3

Task: Text Generation
Library: transformers
Type: gpt2
License: mit
Created: Aug 30, 2023
Updated: Aug 31, 2023