End of training

README.md

@@ -0,0 +1,74 @@
+---
+license: apache-2.0
+base_model: projecte-aina/roberta-base-ca-v2-cased-te
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: 2504v4
+  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. -->
+
+# 2504v4
+
+This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-aina/roberta-base-ca-v2-cased-te) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6121
+- Accuracy: 0.8193
+- Precision: 0.8296
+- Recall: 0.8193
+- F1: 0.8179
+- Ratio: 0.5882
+
+## 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: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.06
+- num_epochs: 4
+- label_smoothing_factor: 0.1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Precision | Recall | F1     | Ratio  |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
+| 2.127         | 0.9870 | 38   | 0.8502          | 0.6345   | 0.6397    | 0.6345 | 0.6310 | 0.5966 |
+| 0.7538        | 2.0    | 77   | 0.6640          | 0.7689   | 0.7885    | 0.7689 | 0.7649 | 0.6303 |
+| 0.6205        | 2.9870 | 115  | 0.6121          | 0.8193   | 0.8296    | 0.8193 | 0.8179 | 0.5882 |
+| 0.5664        | 3.9481 | 152  | 0.6239          | 0.8109   | 0.8278    | 0.8109 | 0.8085 | 0.6134 |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

logs/events.out.tfevents.1714040490.fbbc666e7829.16557.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:71c775378a508905b53cb1142d5d35f521844fc533a4e52948db07631fa4ce52
-size 7541
+oid sha256:7e970701e7c28a5f2379d9a405e9fc7f0643eb6f54d8ff2260fd550073cecf2c
+size 8627

logs/events.out.tfevents.1714041031.fbbc666e7829.16557.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c4bd2a11d854386c704485706374764e2558e4ba9d9cf56e8957473db3aa8dfa
+size 609