End of training

README.md

@@ -0,0 +1,62 @@
+---
+license: apache-2.0
+base_model: kz-transformers/kaz-roberta-conversational
+tags:
+- generated_from_trainer
+model-index:
+- name: multi-label_classification
+  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. -->
+
+# multi-label_classification
+
+This model is a fine-tuned version of [kz-transformers/kaz-roberta-conversational](https://huggingface.co/kz-transformers/kaz-roberta-conversational) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4868
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.4746        | 1.0   | 10125 | 0.4868          |
+| 0.3703        | 2.0   | 20250 | 0.5347          |
+| 0.1326        | 3.0   | 30375 | 0.6513          |
+| 0.2879        | 4.0   | 40500 | 0.8209          |
+| 0.1149        | 5.0   | 50625 | 0.8983          |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

@@ -29,7 +29,7 @@
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.41.2",
+  "transformers_version": "4.42.4",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 52000

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special_tokens_map.json

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tokenizer_config.json

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+}

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