README.md

metadata

base_model: gpt2
tags:
  - generated_from_trainer
model-index:
  - name: basho_haiku_gpt2_test
    results: []

basho_haiku_gpt2_test

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

• Loss: 0.7002

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: 5e-05
• train_batch_size: 1
• 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
0.9095	0.11	100	0.6605
0.6638	0.22	200	0.6303
0.6456	0.33	300	0.6163
0.6421	0.45	400	0.6139
0.6421	0.56	500	0.6069
0.6182	0.67	600	0.5944
0.6277	0.78	700	0.5910
0.6409	0.89	800	0.5878
0.6047	1.0	900	0.5807
0.4944	1.11	1000	0.5847
0.4878	1.23	1100	0.5897
0.4706	1.34	1200	0.5947
0.4829	1.45	1300	0.5866
0.4742	1.56	1400	0.5875
0.4555	1.67	1500	0.5884
0.4713	1.78	1600	0.5890
0.4669	1.9	1700	0.5848
0.475	2.01	1800	0.5838
0.3762	2.12	1900	0.6123
0.3703	2.23	2000	0.6172
0.3772	2.34	2100	0.6118
0.3731	2.45	2200	0.6090
0.3662	2.56	2300	0.6151
0.3894	2.68	2400	0.6132
0.3663	2.79	2500	0.6195
0.368	2.9	2600	0.6163
0.3735	3.01	2700	0.6191
0.3006	3.12	2800	0.6518
0.3071	3.23	2900	0.6603
0.2898	3.34	3000	0.6629
0.2986	3.46	3100	0.6648
0.3107	3.57	3200	0.6558
0.3064	3.68	3300	0.6568
0.3052	3.79	3400	0.6633
0.3069	3.9	3500	0.6626
0.2872	4.01	3600	0.6641
0.2711	4.12	3700	0.6848
0.2584	4.24	3800	0.6944
0.2606	4.35	3900	0.7007
0.2538	4.46	4000	0.7029
0.2481	4.57	4100	0.7014
0.2466	4.68	4200	0.7006
0.25	4.79	4300	0.6990
0.2568	4.91	4400	0.7002

Framework versions

• Transformers 4.38.2
• Pytorch 2.0.1+cu117
• Datasets 2.18.0
• Tokenizers 0.15.2