Model save

README.md

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+---
+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
+should probably proofread and complete it, then remove this comment. -->
+
+# 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

model.safetensors

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