End of training

README.md

@@ -0,0 +1,69 @@
+---
+license: apache-2.0
+base_model: yhavinga/t5-small-24L-ccmatrix-multi
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- precision
+- recall
+model-index:
+- name: final_classifications
+  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. -->
+
+# final_classifications
+
+This model is a fine-tuned version of [yhavinga/t5-small-24L-ccmatrix-multi](https://huggingface.co/yhavinga/t5-small-24L-ccmatrix-multi) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1005
+- F1: {'f1': 0.9592760180995475}
+- Precision: {'precision': 0.954954954954955}
+- Recall: {'recall': 0.9636363636363636}
+
+## 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: 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: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1                         | Precision                         | Recall                         |
+|:-------------:|:-----:|:----:|:---------------:|:--------------------------:|:---------------------------------:|:------------------------------:|
+| No log        | 1.0   | 110  | 0.2362          | {'f1': 0.0}                | {'precision': 0.0}                | {'recall': 0.0}                |
+| No log        | 2.0   | 220  | 0.1164          | {'f1': 0.9502262443438914} | {'precision': 0.9459459459459459} | {'recall': 0.9545454545454546} |
+| No log        | 3.0   | 330  | 0.0832          | {'f1': 0.9596412556053813} | {'precision': 0.9469026548672567} | {'recall': 0.9727272727272728} |
+| No log        | 4.0   | 440  | 0.0918          | {'f1': 0.9549549549549549} | {'precision': 0.9464285714285714} | {'recall': 0.9636363636363636} |
+| 0.1554        | 5.0   | 550  | 0.0939          | {'f1': 0.9596412556053813} | {'precision': 0.9469026548672567} | {'recall': 0.9727272727272728} |
+| 0.1554        | 6.0   | 660  | 0.1005          | {'f1': 0.9592760180995475} | {'precision': 0.954954954954955}  | {'recall': 0.9636363636363636} |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:893d19ca804d7c26d524884edd7ee3719f5d9100b17c6c5d77082f83f8dc0b01
+oid sha256:452354b79de8624f861b35ff9845e51f384cf4ec3bc1e339845ede349fd0dfc4
 size 935348320