End of training

README.md

@@ -0,0 +1,71 @@
+---
+base_model: Musixmatch/umberto-commoncrawl-cased-v1
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: relation_detection_textual
+  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. -->
+
+# relation_detection_textual
+
+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: 0.5100
+- F1: 0.5655
+- Roc Auc: 0.6529
+- Accuracy: 0.6047
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| No log        | 1.0   | 33   | 0.5583          | 0.2409 | 0.5     | 0.5659   |
+| No log        | 2.0   | 66   | 0.5156          | 0.4076 | 0.5540  | 0.5349   |
+| No log        | 3.0   | 99   | 0.4998          | 0.4549 | 0.6170  | 0.6357   |
+| No log        | 4.0   | 132  | 0.5060          | 0.5242 | 0.6401  | 0.6124   |
+| No log        | 5.0   | 165  | 0.5160          | 0.5164 | 0.6281  | 0.6124   |
+| No log        | 6.0   | 198  | 0.5163          | 0.5508 | 0.6435  | 0.5736   |
+| No log        | 7.0   | 231  | 0.5111          | 0.5543 | 0.6469  | 0.5736   |
+| No log        | 8.0   | 264  | 0.4990          | 0.5556 | 0.6481  | 0.5814   |
+| No log        | 9.0   | 297  | 0.5100          | 0.5655 | 0.6529  | 0.6047   |
+| No log        | 10.0  | 330  | 0.5098          | 0.5639 | 0.6503  | 0.6047   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.0.0+cu118
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ee5e3207a653cb28e73913c90c96acc6273db3f12e08f6be6a98ebdaf32c05f1
+oid sha256:ab194fa676fea86577a8618e98a54357c844793ea99021d58e48e4a9125b592e
 size 442521180

runs/May21_11-18-08_LAPTOP-R8S99065/events.out.tfevents.1716283856.LAPTOP-R8S99065.19300.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4b98b56b80783435978535e4541c0e89c36737a900be16f4cc7ad98697d6967f
+size 508