CLMBR/binding-case-transformer-3

1---2tags:3- generated_from_trainer4model-index:5- name: binding-case-transformer-36  results: []7---8 9<!-- This model card has been generated automatically according to the information the Trainer had access to. You10should probably proofread and complete it, then remove this comment. -->11 12# binding-case-transformer-313 14This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.15It achieves the following results on the evaluation set:16- Loss: 3.867017 18## Model description19 20More information needed21 22## Intended uses & limitations23 24More information needed25 26## Training and evaluation data27 28More information needed29 30## Training procedure31 32### Training hyperparameters33 34The following hyperparameters were used during training:35- learning_rate: 5e-0536- train_batch_size: 3237- eval_batch_size: 3238- seed: 339- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-0840- lr_scheduler_type: linear41- training_steps: 305272642 43### Training results44 45| Training Loss | Epoch | Step    | Validation Loss |46|:-------------:|:-----:|:-------:|:---------------:|47| 4.2314        | 0.03  | 76320   | 4.2045          |48| 4.0255        | 1.03  | 152640  | 4.0343          |49| 3.9162        | 0.03  | 228960  | 3.9592          |50| 3.8461        | 1.03  | 305280  | 3.9177          |51| 3.7972        | 0.03  | 381600  | 3.8919          |52| 3.7556        | 0.03  | 457920  | 3.8758          |53| 3.7234        | 1.03  | 534240  | 3.8647          |54| 3.6911        | 0.03  | 610560  | 3.8576          |55| 3.6635        | 0.03  | 686880  | 3.8523          |56| 3.6373        | 1.03  | 763200  | 3.8498          |57| 3.6137        | 0.03  | 839520  | 3.8490          |58| 3.5941        | 0.03  | 915840  | 3.8470          |59| 3.5757        | 1.03  | 992160  | 3.8467          |60| 3.5548        | 0.03  | 1068480 | 3.8481          |61| 3.5424        | 1.03  | 1144800 | 3.8487          |62| 3.5221        | 0.03  | 1221120 | 3.8502          |63| 3.5058        | 1.03  | 1297440 | 3.8516          |64| 3.4945        | 0.03  | 1373760 | 3.8533          |65| 3.4803        | 0.03  | 1450080 | 3.8544          |66| 3.4734        | 1.03  | 1526400 | 3.8559          |67| 3.4661        | 0.03  | 1602720 | 3.8584          |68| 3.4567        | 1.03  | 1679040 | 3.8596          |69| 3.449         | 0.03  | 1755360 | 3.8612          |70| 3.4373        | 1.03  | 1831680 | 3.8616          |71| 3.4256        | 0.03  | 1908000 | 3.8637          |72| 3.4142        | 0.03  | 1984320 | 3.8646          |73| 3.4019        | 1.03  | 2060640 | 3.8663          |74| 3.3938        | 0.03  | 2136960 | 3.8681          |75| 3.3805        | 1.03  | 2213280 | 3.8681          |76| 3.3672        | 0.03  | 2289600 | 3.8700          |77| 3.3602        | 1.03  | 2365920 | 3.8706          |78| 3.3464        | 0.03  | 2442240 | 3.8702          |79| 3.3365        | 0.03  | 2518560 | 3.8715          |80| 3.3289        | 0.03  | 2594880 | 3.8716          |81| 3.3183        | 1.03  | 2671200 | 3.8725          |82| 3.3134        | 0.03  | 2747520 | 3.8718          |83| 3.3094        | 0.03  | 2823840 | 3.8712          |84| 3.3047        | 1.03  | 2900160 | 3.8702          |85| 3.3001        | 0.03  | 2976480 | 3.8689          |86| 3.2937        | 0.02  | 3052726 | 3.8670          |87 88 89### Framework versions90 91- Transformers 4.33.392- Pytorch 2.0.193- Datasets 2.12.094- Tokenizers 0.13.395