End of training

README.md

@@ -0,0 +1,84 @@
+---
+library_name: transformers
+license: mit
+base_model: vinai/phobert-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: phobert-human-tl-seed-6969
+  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. -->
+
+# phobert-human-tl-seed-6969
+
+This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4535
+- Accuracy: 0.8387
+- Precision: 0.6438
+- Recall: 0.4677
+- F1: 0.4914
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 346  | 0.5154          | 0.8241   | 0.5456    | 0.3492 | 0.3314 |
+| 0.5778        | 2.0   | 692  | 0.4712          | 0.8305   | 0.6220    | 0.4062 | 0.4191 |
+| 0.4667        | 3.0   | 1038 | 0.4650          | 0.8331   | 0.6490    | 0.4069 | 0.4227 |
+| 0.4667        | 4.0   | 1384 | 0.4665          | 0.8365   | 0.6819    | 0.4147 | 0.4337 |
+| 0.4617        | 5.0   | 1730 | 0.4639          | 0.8357   | 0.6591    | 0.4129 | 0.4337 |
+| 0.4577        | 6.0   | 2076 | 0.4606          | 0.8368   | 0.6775    | 0.4282 | 0.4479 |
+| 0.4577        | 7.0   | 2422 | 0.4626          | 0.8361   | 0.6851    | 0.4134 | 0.4359 |
+| 0.4554        | 8.0   | 2768 | 0.4530          | 0.8394   | 0.6468    | 0.4436 | 0.4674 |
+| 0.4545        | 9.0   | 3114 | 0.4599          | 0.8342   | 0.6459    | 0.4083 | 0.4288 |
+| 0.4545        | 10.0  | 3460 | 0.4603          | 0.8350   | 0.6825    | 0.4375 | 0.4543 |
+| 0.4587        | 11.0  | 3806 | 0.4594          | 0.8346   | 0.6499    | 0.4092 | 0.4321 |
+| 0.4491        | 12.0  | 4152 | 0.4535          | 0.8387   | 0.6438    | 0.4677 | 0.4914 |
+| 0.4491        | 13.0  | 4498 | 0.4555          | 0.8353   | 0.6372    | 0.4213 | 0.4475 |
+| 0.4579        | 14.0  | 4844 | 0.4563          | 0.8357   | 0.6552    | 0.4129 | 0.4359 |
+| 0.4488        | 15.0  | 5190 | 0.4595          | 0.8335   | 0.6553    | 0.4019 | 0.4217 |
+| 0.4587        | 16.0  | 5536 | 0.4663          | 0.8327   | 0.6580    | 0.3987 | 0.4161 |
+| 0.4587        | 17.0  | 5882 | 0.4515          | 0.8387   | 0.6235    | 0.4357 | 0.4612 |
+
+
+### Framework versions
+
+- Transformers 4.51.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1d933e13ee5710d4d840869564241f71b148b2bf8599d13bc677e86c43e1146a
+oid sha256:59325148bdd5ff504900b6fe2dcb292cd1704fbb3df636cb56fcc2334203174f
 size 540026460

runs/Jul08_10-18-56_4d354dd03f08/events.out.tfevents.1751970742.4d354dd03f08.120.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:93133f4477194f83251057dd300778f908cfb382b5bb0d949883d27da14ed4e2
+size 560