End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: distilbert/distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: distilbert-imdb-sentiment
+  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. -->
+
+# distilbert-imdb-sentiment
+
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4840
+- Accuracy: 0.9314
+- F1: 0.9318
+
+## 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: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Use adamw_torch_fused 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: 0.06
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
+| 0.4753        | 0.6394 | 500  | 0.4521          | 0.9114   | 0.9151 |
+| 0.3099        | 1.2788 | 1000 | 0.4450          | 0.9250   | 0.9262 |
+| 0.2935        | 1.9182 | 1500 | 0.3898          | 0.9290   | 0.9299 |
+| 0.2234        | 2.5575 | 2000 | 0.4829          | 0.9307   | 0.9301 |
+| 0.1981        | 3.0    | 2346 | 0.4840          | 0.9314   | 0.9318 |
+
+
+### Framework versions
+
+- Transformers 5.6.1
+- Pytorch 2.11.0+cu130
+- Datasets 4.8.4
+- Tokenizers 0.22.2

all_results.json

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+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.9314,
+    "eval_f1": 0.93181185638742,
+    "eval_loss": 0.48404139280319214,
+    "eval_runtime": 158.045,
+    "eval_samples_per_second": 158.183,
+    "eval_steps_per_second": 2.474,
+    "train_loss": 0.3609746463869945,
+    "train_runtime": 2380.306,
+    "train_samples_per_second": 31.509,
+    "train_steps_per_second": 0.986
+}

eval_results.json

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+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.9314,
+    "eval_f1": 0.93181185638742,
+    "eval_loss": 0.48404139280319214,
+    "eval_runtime": 158.045,
+    "eval_samples_per_second": 158.183,
+    "eval_steps_per_second": 2.474
+}

train_results.json

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+{
+    "epoch": 3.0,
+    "train_loss": 0.3609746463869945,
+    "train_runtime": 2380.306,
+    "train_samples_per_second": 31.509,
+    "train_steps_per_second": 0.986
+}