End of training

README.md

@@ -0,0 +1,70 @@
+---
+library_name: transformers
+base_model: Musixmatch/umberto-commoncrawl-cased-v1
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: multipride_umberto_sent_label
+  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. -->
+
+# multipride_umberto_sent_label
+
+This model is a fine-tuned version of [Musixmatch/umberto-commoncrawl-cased-v1](https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2326
+- Accuracy: 0.9325
+- Precision: 0.8816
+- Recall: 0.9090
+- F1: 0.8943
+
+## 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-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- 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
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.3403        | 1.0   | 95   | 0.2707          | 0.9141   | 0.9285    | 0.7865 | 0.8346 |
+| 0.1875        | 2.0   | 190  | 0.2311          | 0.9202   | 0.8902    | 0.8397 | 0.8618 |
+| 0.1657        | 3.0   | 285  | 0.2787          | 0.9325   | 0.8736    | 0.9337 | 0.8989 |
+| 0.1117        | 4.0   | 380  | 0.2278          | 0.9325   | 0.9026    | 0.8719 | 0.8862 |
+| 0.0448        | 5.0   | 475  | 0.2326          | 0.9325   | 0.8816    | 0.9090 | 0.8943 |
+
+
+### Framework versions
+
+- Transformers 4.57.2
+- Pytorch 2.9.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.22.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:858231b79843e333b6d75460d6ebfaf091739a72a75cfce01324c839837ed85b
+oid sha256:2096424239c5b8b611b193111e5ec1e4ce219b37fb1d610cf69fa848c07ca9e5
 size 442518104