CLMBR/binding-c-command-transformer-0

1---2tags:3- generated_from_trainer4model-index:5- name: binding-c-command-transformer-06  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-c-command-transformer-013 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: 3.862317 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: 039- 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| 4.2256        | 0.03  | 76320   | 4.1939          |48| 4.0197        | 1.03  | 152640  | 4.0263          |49| 3.9124        | 0.03  | 228960  | 3.9521          |50| 3.8474        | 1.03  | 305280  | 3.9113          |51| 3.7939        | 0.03  | 381600  | 3.8862          |52| 3.7531        | 1.03  | 457920  | 3.8701          |53| 3.7234        | 0.03  | 534240  | 3.8589          |54| 3.6922        | 1.03  | 610560  | 3.8521          |55| 3.6629        | 0.03  | 686880  | 3.8485          |56| 3.6356        | 1.03  | 763200  | 3.8451          |57| 3.6128        | 0.03  | 839520  | 3.8436          |58| 3.5929        | 1.03  | 915840  | 3.8429          |59| 3.574         | 0.03  | 992160  | 3.8428          |60| 3.5508        | 1.03  | 1068480 | 3.8433          |61| 3.5355        | 0.03  | 1144800 | 3.8435          |62| 3.5278        | 1.03  | 1221120 | 3.8453          |63| 3.5109        | 0.03  | 1297440 | 3.8459          |64| 3.4986        | 0.03  | 1373760 | 3.8483          |65| 3.4819        | 1.03  | 1450080 | 3.8498          |66| 3.4765        | 0.03  | 1526400 | 3.8518          |67| 3.4654        | 0.03  | 1602720 | 3.8523          |68| 3.4555        | 1.03  | 1679040 | 3.8527          |69| 3.4499        | 0.03  | 1755360 | 3.8555          |70| 3.4399        | 0.03  | 1831680 | 3.8558          |71| 3.4253        | 0.03  | 1908000 | 3.8577          |72| 3.4113        | 1.03  | 1984320 | 3.8580          |73| 3.4005        | 0.03  | 2060640 | 3.8599          |74| 3.3919        | 1.03  | 2136960 | 3.8617          |75| 3.3804        | 0.03  | 2213280 | 3.8617          |76| 3.3655        | 0.03  | 2289600 | 3.8638          |77| 3.3548        | 1.03  | 2365920 | 3.8634          |78| 3.353         | 0.03  | 2442240 | 3.8643          |79| 3.3392        | 1.03  | 2518560 | 3.8654          |80| 3.3291        | 0.03  | 2594880 | 3.8651          |81| 3.3208        | 1.03  | 2671200 | 3.8650          |82| 3.3177        | 0.03  | 2747520 | 3.8656          |83| 3.3077        | 0.03  | 2823840 | 3.8655          |84| 3.3017        | 0.03  | 2900160 | 3.8646          |85| 3.3002        | 1.03  | 2976480 | 3.8635          |86| 3.2939        | 0.02  | 3052726 | 3.8623          |87 88 89### Framework versions90 91- Transformers 4.33.392- Pytorch 2.0.193- Datasets 2.12.094- Tokenizers 0.13.395