---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: xlm-mlm-abl-no-tlm-plains-cree-en-calibrated
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# xlm-mlm-abl-no-tlm-plains-cree-en-calibrated

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.5538
- Macro F1: 0.3942
- Literal F1: 0.8267
- Idiom F1: 0.0
- Metaphor F1: 0.0
- Simile F1: 0.75

## 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: 5e-06
- train_batch_size: 8
- eval_batch_size: 16
- 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_steps: 0.1
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Macro F1 | Literal F1 | Idiom F1 | Metaphor F1 | Simile F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:----------:|:--------:|:-----------:|:---------:|
| 1.5734        | 1.0   | 24   | 1.6208          | 0.2434   | 0.7385     | 0.2353   | 0.0         | 0.0       |
| 1.1874        | 2.0   | 48   | 1.5459          | 0.4589   | 0.8116     | 0.1667   | 0.0         | 0.8571    |
| 0.7031        | 3.0   | 72   | 1.4816          | 0.4545   | 0.7941     | 0.1667   | 0.0         | 0.8571    |
| 0.4433        | 4.0   | 96   | 2.3902          | 0.4862   | 0.8378     | 0.25     | 0.0         | 0.8571    |
| 0.1416        | 5.0   | 120  | 3.3814          | 0.4702   | 0.8571     | 0.1667   | 0.0         | 0.8571    |
| 0.1549        | 6.0   | 144  | 4.8300          | 0.3902   | 0.8108     | 0.0      | 0.0         | 0.75      |
| 0.0104        | 7.0   | 168  | 5.5538          | 0.3942   | 0.8267     | 0.0      | 0.0         | 0.75      |


### Framework versions

- Transformers 5.12.1
- Pytorch 2.12.1+cu130
- Datasets 5.0.0
- Tokenizers 0.22.2