abgthdev/CSAT_Customer_Satisfaction_finetuning

1---2library_name: transformers3license: apache-2.04base_model: distilbert-base-uncased5tags:6- generated_from_trainer7metrics:8- accuracy9- f110model-index:11- name: CSAT_Customer_Satisfaction_finetuning12  results: []13---14 15<!-- This model card has been generated automatically according to the information the Trainer had access to. You16should probably proofread and complete it, then remove this comment. -->17 18# CSAT_Customer_Satisfaction_finetuning19 20This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.21It achieves the following results on the evaluation set:22- Loss: 0.390923- Accuracy: 0.89624- F1: 0.898025 26## Model description27 28More information needed29 30## Intended uses & limitations31 32More information needed33 34## Training and evaluation data35 36More information needed37 38## Training procedure39 40### Training hyperparameters41 42The following hyperparameters were used during training:43- learning_rate: 3e-0544- train_batch_size: 1645- eval_batch_size: 1646- seed: 4247- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments48- lr_scheduler_type: linear49- num_epochs: 350 51### Training results52 53| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |54|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|55| No log        | 1.0   | 313  | 0.3884          | 0.846    | 0.8613 |56| 0.3214        | 2.0   | 626  | 0.3190          | 0.888    | 0.8902 |57| 0.3214        | 3.0   | 939  | 0.3909          | 0.896    | 0.8980 |58 59 60### Framework versions61 62- Transformers 5.14.163- Pytorch 2.11.0+cu12864- Datasets 5.0.165- Tokenizers 0.22.266