End of training

README.md

@@ -0,0 +1,71 @@
+---
+library_name: transformers
+license: mit
+base_model: FacebookAI/roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: roberta-base-cpp
+  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. -->
+
+# roberta-base-cpp
+
+This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1043
+- Accuracy: 0.9419
+
+## 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: 2
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 4
+- 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
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1244        | 0.125 | 1000 | 0.0842          | 0.931    |
+| 0.0851        | 0.25  | 2000 | 0.2041          | 0.7715   |
+| 0.0632        | 0.375 | 3000 | 0.1610          | 0.9123   |
+| 0.0521        | 0.5   | 4000 | 0.0907          | 0.9224   |
+| 0.0426        | 0.625 | 5000 | 0.2447          | 0.8784   |
+| 0.0341        | 0.75  | 6000 | 0.0667          | 0.9641   |
+| 0.0252        | 0.875 | 7000 | 0.0872          | 0.957    |
+| 0.0184        | 1.0   | 8000 | 0.1043          | 0.9419   |
+
+
+### Framework versions
+
+- Transformers 4.57.1
+- Pytorch 2.8.0+cu126
+- Datasets 4.4.1
+- Tokenizers 0.22.1

config.json

@@ -19,7 +19,7 @@
   "num_hidden_layers": 12,
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
-  "transformers_version": "4.57.3",
+  "transformers_version": "4.57.1",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 50265

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6b0075e6716b391b423ea614a7409f90848b1fdf865d2dd524d7a1704b32111c
+oid sha256:cfbea2d700ccc89e7267e56fb4ae1450990637a55422a1e044b82b935b1d6a38
 size 498612824

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4672bef08597eaac4166af409003080f023f24990f8f58c185b2b990119dc93e
+oid sha256:5d1dcf0aa731896a45dc92ce645a0147a079fc2db258f2967bafe27b497eba6b
 size 5841