End of training

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+model-index:
+- name: fineweb-distil-xlstm-v2
+  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. -->
+
+# fineweb-distil-xlstm-v2
+
+This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.2551
+
+## 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: 0.0001
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 4
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 13.2159       | 0.4   | 100  | 5.9022          |
+| 11.4921       | 0.8   | 200  | 5.7127          |
+| 11.3782       | 1.2   | 300  | 5.6504          |
+| 11.0407       | 1.6   | 400  | 5.5283          |
+| 10.7919       | 2.0   | 500  | 5.4539          |
+| 10.7892       | 2.4   | 600  | 5.4175          |
+| 10.3999       | 2.8   | 700  | 5.3579          |
+| 10.4777       | 3.2   | 800  | 5.3556          |
+| 10.1623       | 3.6   | 900  | 5.3045          |
+| 10.223        | 4.0   | 1000 | 5.2794          |
+| 10.135        | 4.4   | 1100 | 5.2728          |
+| 10.0915       | 4.8   | 1200 | 5.2551          |
+
+
+### Framework versions
+
+- Transformers 4.47.0
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

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