Training in progress, epoch 1

README.md

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+---
+license: cc-by-4.0
+base_model: l3cube-pune/telugu-bert
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: telugu-bert
+  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. -->
+
+# telugu-bert
+
+This model is a fine-tuned version of [l3cube-pune/telugu-bert](https://huggingface.co/l3cube-pune/telugu-bert) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3905
+- Accuracy: 0.848
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5958        | 1.0   | 625  | 0.4664          | 0.807    |
+| 0.4502        | 2.0   | 1250 | 0.3905          | 0.848    |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cpu
+- Datasets 2.20.0
+- Tokenizers 0.19.1

added_tokens.json

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+}

config.json

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+  "ff_activation": "gelu",
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+  "label2id": {
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+    "Non-Hate": 0
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+  "mem_len": null,
+  "model_type": "xlnet",
+  "n_head": 12,
+  "n_layer": 12,
+  "pad_token_id": 5,
+  "problem_type": "single_label_classification",
+  "reuse_len": null,
+  "same_length": false,
+  "start_n_top": 5,
+  "summary_activation": "tanh",
+  "summary_last_dropout": 0.1,
+  "summary_type": "last",
+  "summary_use_proj": true,
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 250
+    }
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "untie_r": true,
+  "use_mems_eval": true,
+  "use_mems_train": false,
+  "vocab_size": 32000
+}

model.safetensors

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sentencepiece.bpe.model

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special_tokens_map.json

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+}

spiece.model

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tokenizer_config.json

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+}

training_args.bin

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