Model save

README.md

@@ -0,0 +1,73 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: Jsevisal/ModernEMO-wheel-base-classweight
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: ModernEMO-psiconnea-wheel-base-classweight
+  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. -->
+
+# ModernEMO-psiconnea-wheel-base-classweight
+
+This model is a fine-tuned version of [Jsevisal/ModernEMO-wheel-base-classweight](https://huggingface.co/Jsevisal/ModernEMO-wheel-base-classweight) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4714
+- F1: 0.7626
+- Roc Auc: 0.8449
+- Accuracy: 0.376
+
+## 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: 8e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| 0.4054        | 1.0   | 24   | 0.3117          | 0.6802 | 0.7748  | 0.24     |
+| 0.2246        | 2.0   | 48   | 0.2869          | 0.7467 | 0.8271  | 0.328    |
+| 0.1472        | 3.0   | 72   | 0.2870          | 0.7553 | 0.8281  | 0.368    |
+| 0.093         | 4.0   | 96   | 0.4209          | 0.7536 | 0.8401  | 0.304    |
+| 0.0575        | 5.0   | 120  | 0.4089          | 0.7589 | 0.8450  | 0.32     |
+| 0.036         | 6.0   | 144  | 0.4369          | 0.7648 | 0.8467  | 0.4      |
+| 0.026         | 7.0   | 168  | 0.4727          | 0.7579 | 0.8463  | 0.344    |
+| 0.0187        | 8.0   | 192  | 0.4631          | 0.7701 | 0.8516  | 0.384    |
+| 0.0162        | 9.0   | 216  | 0.4699          | 0.7612 | 0.8443  | 0.36     |
+| 0.0141        | 10.0  | 240  | 0.4714          | 0.7626 | 0.8449  | 0.376    |
+
+
+### Framework versions
+
+- Transformers 4.49.0.dev0
+- Pytorch 2.3.1.post100
+- Datasets 3.2.0
+- Tokenizers 0.21.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:de0d6e558b2865e4ee4503fc797c90afef8a2ea53df1dcfd052a270893709751
+oid sha256:e9e1a14205fc3a6bb2686946614179c7dce13a9437e74fb5e91e8b51d130f036
 size 598461316

tokenizer.json

@@ -1,11 +1,6 @@
 {
   "version": "1.0",
-  "truncation": {
-    "direction": "Right",
-    "max_length": 8192,
-    "strategy": "LongestFirst",
-    "stride": 0
-  },
+  "truncation": null,
   "padding": null,
   "added_tokens": [
     {