Model save

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+model-index:
+- name: student_s3d_default_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_s3d_default_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: 0.5217
+- Accuracy: 0.8812
+- F1: 0.8811
+- Precision: 0.8827
+
+## 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: 75
+- eval_batch_size: 75
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 47
+- training_steps: 475
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy | F1     | Precision |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:---------:|
+| 0.6345        | 2.0147  | 47   | 0.5707          | 0.7656   | 0.7621 | 0.7824    |
+| 0.4332        | 4.0295  | 94   | 0.3666          | 0.8219   | 0.8218 | 0.8222    |
+| 0.3306        | 7.0021  | 141  | 0.4903          | 0.825    | 0.8246 | 0.8283    |
+| 0.2447        | 9.0168  | 188  | 0.3415          | 0.8375   | 0.8361 | 0.8498    |
+| 0.1972        | 11.0316 | 235  | 0.4171          | 0.8375   | 0.8359 | 0.8516    |
+| 0.173         | 14.0042 | 282  | 0.3911          | 0.8656   | 0.8650 | 0.8720    |
+| 0.1481        | 16.0189 | 329  | 0.4326          | 0.8719   | 0.8714 | 0.8772    |
+| 0.1165        | 18.0337 | 376  | 0.2364          | 0.8812   | 0.8811 | 0.8834    |
+| 0.098         | 21.0063 | 423  | 0.5760          | 0.8844   | 0.8843 | 0.8856    |
+| 0.0857        | 23.0211 | 470  | 0.5217          | 0.8812   | 0.8811 | 0.8827    |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.0.1+cu118
+- Datasets 3.0.1
+- Tokenizers 0.20.0

all_results.json

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+{
+    "epoch": 23.03157894736842,
+    "total_flos": 0.0,
+    "train_loss": 0.25941278507834986,
+    "train_runtime": 12486.775,
+    "train_samples_per_second": 2.853,
+    "train_steps_per_second": 0.038
+}

model.safetensors

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 size 31782968

runs/Oct08_15-49-53_33dee112c9fa/events.out.tfevents.1728402594.33dee112c9fa.5105.1

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+size 13490

train_results.json

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+{
+    "epoch": 23.03157894736842,
+    "total_flos": 0.0,
+    "train_loss": 0.25941278507834986,
+    "train_runtime": 12486.775,
+    "train_samples_per_second": 2.853,
+    "train_steps_per_second": 0.038
+}