End of training

README.md

@@ -0,0 +1,73 @@
+---
+library_name: transformers
+base_model: uitnlp/visobert
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: visobert-human-finetune-seed-69
+  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. -->
+
+# visobert-human-finetune-seed-69
+
+This model is a fine-tuned version of [uitnlp/visobert](https://huggingface.co/uitnlp/visobert) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3651
+- Accuracy: 0.8720
+- Precision: 0.6884
+- Recall: 0.7116
+- F1: 0.6966
+
+## 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  | 0.3459          | 0.8656   | 0.6824    | 0.6750 | 0.6476 |
+| 0.3399        | 2.0   | 692  | 0.3651          | 0.8720   | 0.6884    | 0.7116 | 0.6966 |
+| 0.1883        | 3.0   | 1038 | 0.3686          | 0.8787   | 0.7074    | 0.6771 | 0.6913 |
+| 0.1883        | 4.0   | 1384 | 0.5800          | 0.8720   | 0.7127    | 0.6519 | 0.6594 |
+| 0.0913        | 5.0   | 1730 | 0.5507          | 0.8746   | 0.7029    | 0.6860 | 0.6934 |
+| 0.0605        | 6.0   | 2076 | 0.6090          | 0.8757   | 0.7007    | 0.6792 | 0.6895 |
+| 0.0605        | 7.0   | 2422 | 0.6178          | 0.8821   | 0.7406    | 0.6434 | 0.6830 |
+
+
+### 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:ab2d04b29ebcec8e446b435fc2d7530c3dddee4861ad7684b3b1d3140f94a446
+oid sha256:0498979d46bc8861184176e0d9d44f1aea2d64b3acfdc9f2d7e0d2582b388ebf
 size 390297116

runs/Jul09_16-11-14_5c2005fdcb56/events.out.tfevents.1752078422.5c2005fdcb56.120.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ab227c3da726127af402ab8b40d3cd47586bc7248132dcbabd511b2b6d6248f3
+size 560