README.md

metadata

library_name: transformers
language:
  - en
license: apache-2.0
base_model: gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - spearmanr
model-index:
  - name: tinybert_base_train_book_ent_15p_s_init_stsb
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: GLUE STSB
          type: glue
          args: stsb
        metrics:
          - name: Spearmanr
            type: spearmanr
            value: 0.45042388735120237

tinybert_base_train_book_ent_15p_s_init_stsb

This model is a fine-tuned version of gokulsrinivasagan/tinybert_base_train_book_ent_15p_s_init on the GLUE STSB dataset. It achieves the following results on the evaluation set:

• Loss: 2.0353
• Pearson: 0.4498
• Spearmanr: 0.4504
• Combined Score: 0.4501

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: 256
• eval_batch_size: 256
• seed: 10
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Pearson	Spearmanr	Combined Score
2.7691	1.0	23	2.3946	0.0892	0.0850	0.0871
1.9727	2.0	46	2.7461	0.1290	0.1122	0.1206
1.8625	3.0	69	2.4582	0.1915	0.1774	0.1844
1.7353	4.0	92	2.5132	0.2443	0.2397	0.2420
1.5563	5.0	115	2.4206	0.2846	0.2775	0.2811
1.3568	6.0	138	2.1688	0.3613	0.3591	0.3602
1.1575	7.0	161	2.1934	0.4236	0.4308	0.4272
0.9963	8.0	184	2.3032	0.4317	0.4402	0.4359
0.8439	9.0	207	2.0353	0.4498	0.4504	0.4501
0.7469	10.0	230	2.3655	0.4475	0.4534	0.4505
0.6876	11.0	253	2.0810	0.4343	0.4307	0.4325
0.6435	12.0	276	2.3283	0.4502	0.4514	0.4508
0.5418	13.0	299	2.3053	0.4533	0.4557	0.4545
0.4889	14.0	322	2.4165	0.4343	0.4313	0.4328

Framework versions

• Transformers 4.51.2
• Pytorch 2.6.0+cu126
• Datasets 3.5.0
• Tokenizers 0.21.1