Sravanigunnu/sequence_classification

1---2library_name: peft3tags:4- generated_from_trainer5base_model: models/llama-guard-3-8b6model-index:7- name: sequence_classification8  results: []9---10 11<!-- This model card has been generated automatically according to the information the Trainer had access to. You12should probably proofread and complete it, then remove this comment. -->13 14# sequence_classification15 16This model was trained from scratch on the None dataset.17It achieves the following results on the evaluation set:18- Loss: 0.359719- Pearson: 0.786320 21## Model description22 23More information needed24 25## Intended uses & limitations26 27More information needed28 29## Training and evaluation data30 31More information needed32 33## Training procedure34 35### Training hyperparameters36 37The following hyperparameters were used during training:38- learning_rate: 0.000139- train_batch_size: 3240- eval_batch_size: 841- seed: 4242- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments43- lr_scheduler_type: linear44- num_epochs: 545 46### Training results47 48| Training Loss | Epoch | Step | Validation Loss | Pearson |49|:-------------:|:-----:|:----:|:---------------:|:-------:|50| No log        | 1.0   | 74   | 0.3711          | 0.7131  |51| No log        | 2.0   | 148  | 0.3227          | 0.7641  |52| No log        | 3.0   | 222  | 0.2954          | 0.7772  |53| No log        | 4.0   | 296  | 0.3371          | 0.7700  |54| No log        | 5.0   | 370  | 0.3597          | 0.7863  |55 56 57### Framework versions58 59- PEFT 0.14.060- Transformers 4.49.0.dev061- Pytorch 2.1.0+cu12162- Datasets 3.2.063- Tokenizers 0.21.0