Model save

README.md

@@ -0,0 +1,74 @@
+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+model-index:
+- name: student_videomobilevit_not_learning_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. -->
+
+# student_videomobilevit_not_learning_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: 0.4668
+- Accuracy: 0.8531
+- F1: 0.8530
+- Precision: 0.8542
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 180
+- training_steps: 1800
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|
+| 0.5117        | 2.02  | 180  | 0.4612          | 0.7844   | 0.7841 | 0.7857    |
+| 0.3803        | 4.04  | 360  | 0.4049          | 0.8156   | 0.8150 | 0.8201    |
+| 0.3181        | 7.02  | 540  | 0.4287          | 0.8      | 0.7989 | 0.8069    |
+| 0.2548        | 9.04  | 720  | 0.4230          | 0.8094   | 0.8080 | 0.8184    |
+| 0.2348        | 12.02 | 900  | 0.3655          | 0.85     | 0.85   | 0.85      |
+| 0.1722        | 14.04 | 1080 | 0.3827          | 0.8594   | 0.8594 | 0.8595    |
+| 0.1861        | 17.02 | 1260 | 0.4371          | 0.8562   | 0.8562 | 0.8571    |
+| 0.1753        | 19.04 | 1440 | 0.4214          | 0.8438   | 0.8435 | 0.8457    |
+| 0.1464        | 22.02 | 1620 | 0.5414          | 0.8438   | 0.8427 | 0.8531    |
+| 0.1411        | 24.04 | 1800 | 0.4668          | 0.8531   | 0.8530 | 0.8542    |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.0.1+cu118
+- Datasets 3.0.1
+- Tokenizers 0.20.0

all_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 24.04,
+    "total_flos": 0.0,
+    "train_loss": 0.26292056242624917,
+    "train_runtime": 13361.5549,
+    "train_samples_per_second": 2.694,
+    "train_steps_per_second": 0.135
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:776be2b039c7ad9c39248df95285e4edbbf494ffd8f4414ef072005818427601
+oid sha256:6d10ef29d9f2bc6fdd028198b7b38e9f1ddbf92141c1eb61568ea786988c3fdb
 size 88183984

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 24.04,
+    "total_flos": 0.0,
+    "train_loss": 0.26292056242624917,
+    "train_runtime": 13361.5549,
+    "train_samples_per_second": 2.694,
+    "train_steps_per_second": 0.135
+}