End of training

README.md

@@ -0,0 +1,69 @@
+---
+license: mit
+base_model: BigTMiami/micro_base_help_tapt_pretrain_model
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: micro_base_help_class_tapt_seed_4
+  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. -->
+
+# micro_base_help_class_tapt_seed_4
+
+This model is a fine-tuned version of [BigTMiami/micro_base_help_tapt_pretrain_model](https://huggingface.co/BigTMiami/micro_base_help_tapt_pretrain_model) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9585
+- Accuracy: 0.847
+- F1 Macro: 0.6633
+
+## 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: 4
+- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
+| 0.3721        | 1.0   | 313  | 0.3594          | 0.8574   | 0.5072   |
+| 0.3008        | 2.0   | 626  | 0.3596          | 0.8662   | 0.6247   |
+| 0.248         | 3.0   | 939  | 0.3616          | 0.8516   | 0.6425   |
+| 0.1696        | 4.0   | 1252 | 0.5631          | 0.8306   | 0.6510   |
+| 0.1631        | 5.0   | 1565 | 0.7292          | 0.8436   | 0.6440   |
+| 0.1096        | 6.0   | 1878 | 1.0237          | 0.8378   | 0.6614   |
+| 0.0839        | 7.0   | 2191 | 0.8822          | 0.8532   | 0.6140   |
+| 0.0652        | 8.0   | 2504 | 1.0052          | 0.8532   | 0.6344   |
+| 0.0329        | 9.0   | 2817 | 1.1225          | 0.848    | 0.6417   |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:12eb0f537073b0ac2d99966f16c78021ddb0bfa0fce816470300f10031f9f91f
+oid sha256:c5ba16141b3e8a9fed1b2e9f27d0a72efa24d55d4cb07927cd62d75c5583fd09
 size 498612824