---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: nci-scorer-multitask
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# nci-scorer-multitask

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1511

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.3145 | 100  | 0.2901          |
| No log        | 0.6289 | 200  | 0.2231          |
| No log        | 0.9434 | 300  | 0.1861          |
| No log        | 1.2579 | 400  | 0.1721          |
| 0.239         | 1.5723 | 500  | 0.1709          |
| 0.239         | 1.8868 | 600  | 0.1727          |
| 0.239         | 2.2013 | 700  | 0.1549          |
| 0.239         | 2.5157 | 800  | 0.1491          |
| 0.239         | 2.8302 | 900  | 0.1453          |
| 0.1452        | 3.1447 | 1000 | 0.1482          |
| 0.1452        | 3.4591 | 1100 | 0.1490          |
| 0.1452        | 3.7736 | 1200 | 0.1462          |


### Framework versions

- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1