Model save

README.md

@@ -0,0 +1,77 @@
+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: profesor_MViT_O_RWF2000
+  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. -->
+
+# profesor_MViT_O_RWF2000
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3062
+- Accuracy: 0.9263
+- F1: 0.9263
+- Precision: 0.9263
+- Recall: 0.9263
+- Roc Auc: 0.9740
+
+## 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: 1e-05
+- train_batch_size: 20
+- eval_batch_size: 20
+- seed: 42
+- optimizer: Use 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: 225
+- training_steps: 2250
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Roc Auc |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-------:|
+| 0.4841        | 2.0324  | 225  | 0.3886          | 0.8947   | 0.8947 | 0.8947    | 0.8947 | 0.9512  |
+| 0.2697        | 5.0311  | 450  | 0.2617          | 0.9158   | 0.9157 | 0.9175    | 0.9158 | 0.9655  |
+| 0.1796        | 8.0298  | 675  | 0.2392          | 0.9184   | 0.9184 | 0.9190    | 0.9184 | 0.9725  |
+| 0.1444        | 11.0284 | 900  | 0.2590          | 0.9184   | 0.9184 | 0.9187    | 0.9184 | 0.9755  |
+| 0.1296        | 14.0271 | 1125 | 0.2587          | 0.9211   | 0.9210 | 0.9218    | 0.9211 | 0.9738  |
+| 0.0952        | 17.0258 | 1350 | 0.2924          | 0.9211   | 0.9208 | 0.9258    | 0.9211 | 0.9719  |
+| 0.1148        | 20.0244 | 1575 | 0.2497          | 0.9263   | 0.9263 | 0.9264    | 0.9263 | 0.9777  |
+| 0.0969        | 23.0231 | 1800 | 0.2806          | 0.9289   | 0.9289 | 0.9304    | 0.9289 | 0.9775  |
+| 0.0696        | 26.0218 | 2025 | 0.3203          | 0.9263   | 0.9263 | 0.9267    | 0.9263 | 0.9771  |
+| 0.0915        | 29.0204 | 2250 | 0.3062          | 0.9263   | 0.9263 | 0.9263    | 0.9263 | 0.9740  |
+
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.0.1+cu118
+- Datasets 3.0.2
+- Tokenizers 0.20.1

all_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 29.020444444444443,
+    "total_flos": 0.0,
+    "train_loss": 0.19098828940921359,
+    "train_runtime": 15802.1237,
+    "train_samples_per_second": 2.848,
+    "train_steps_per_second": 0.142
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d18f1a3ccf6ba149db4760c41e14d4b34e8cd0e624d74418df1fcb82d246edf4
+oid sha256:54ca99eac2e3a390eb30e2946dbdd1bdbedd01289fc311372ad12f9b5346b798
 size 137270032

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 29.020444444444443,
+    "total_flos": 0.0,
+    "train_loss": 0.19098828940921359,
+    "train_runtime": 15802.1237,
+    "train_samples_per_second": 2.848,
+    "train_steps_per_second": 0.142
+}