Training complete

README.md

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+---
+base_model: ai4bharat/IndicBART
+tags:
+- summarization
+- generated_from_trainer
+model-index:
+- name: IndicBART_new
+  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. -->
+
+# IndicBART_new
+
+This model is a fine-tuned version of [ai4bharat/IndicBART](https://huggingface.co/ai4bharat/IndicBART) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.1132
+
+## 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: 0.0001
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 1024
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 0.96  | 11   | 6.1880          |
+| No log        | 2.0   | 23   | 5.8543          |
+| No log        | 2.96  | 34   | 5.4336          |
+| No log        | 4.0   | 46   | 4.9778          |
+| No log        | 4.96  | 57   | 4.6550          |
+| No log        | 6.0   | 69   | 4.3842          |
+| No log        | 6.96  | 80   | 4.1987          |
+| No log        | 7.65  | 88   | 4.1132          |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.2
+- Datasets 2.15.0
+- Tokenizers 0.15.2

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 64000,
+  "eos_token_id": 64001,
+  "forced_eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.38.2"
+}

runs/Apr06_12-28-04_285c45ab6328/events.out.tfevents.1712406493.285c45ab6328.35.1

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