HariprasathSB/summarizer-tamil-mbart

README.md

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+---
+base_model: facebook/mbart-large-50-many-to-many-mmt
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: summarizer-tamil-mbart
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/codebot/bart_tam_sum/runs/r6mx7h63)
+# summarizer-tamil-mbart
+
+This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4252
+- Rouge1: 9.3056
+- Rouge2: 2.0
+- Rougel: 9.2889
+- Rougelsum: 9.2222
+- Gen Len: 39.2233
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 5
+- label_smoothing_factor: 0.1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Gen Len | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:------:|:----:|:-------:|:---------------:|:------:|:------:|:------:|:---------:|
+| 4.5487        | 0.2963 | 200  | 39.11   | 4.1027          | 2.1667 | 0.3333 | 2.1111 | 2.1667    |
+| 4.0997        | 0.5926 | 400  | 41.7633 | 3.9744          | 2.2222 | 0.3333 | 2.2593 | 2.2222    |
+| 4.0165        | 0.8889 | 600  | 52.0967 | 3.9417          | 2.6667 | 0.6667 | 2.6667 | 2.7778    |
+| 3.7801        | 1.1852 | 800  | 45.3967 | 3.9424          | 2.1444 | 0.0    | 2.2222 | 2.1333    |
+| 3.7308        | 1.4815 | 1000 | 41.3833 | 3.9573          | 2.7333 | 0.2222 | 2.6063 | 2.7905    |
+| 3.7946        | 1.7778 | 1200 | 35.37   | 3.8979          | 1.0571 | 0.2222 | 0.9619 | 1.0571    |
+| 3.6338        | 2.0741 | 1400 | 30.9567 | 3.9569          | 1.6611 | 0.3333 | 1.6333 | 1.6833    |
+| 3.2282        | 2.3704 | 1600 | 42.4933 | 3.0726          | 4.0698 | 0.3889 | 3.9754 | 3.9825    |
+| 3.1351        | 2.6667 | 1800 | 38.48   | 3.0771          | 2.8333 | 0.0    | 2.8095 | 2.8333    |
+| 3.1739        | 2.9630 | 2000 | 40.04   | 3.0871          | 2.4921 | 0.0    | 2.496  | 2.4762    |
+| 2.8247        | 3.2593 | 2200 | 39.95   | 3.0882          | 3.4706 | 0.2222 | 3.4421 | 3.4357    |
+| 2.7748        | 3.5556 | 2400 | 38.29   | 3.0735          | 3.0    | 0.0    | 3.0    | 3.0       |
+| 2.5244        | 3.8519 | 2600 | 2.4450  | 7.3889          | 1.2222 | 7.4667 | 7.5    | 38.1767   |
+| 2.5382        | 4.1481 | 2800 | 2.4365  | 8.1111          | 1.9744 | 8.2111 | 8.1667 | 39.3333   |
+| 2.4642        | 4.4444 | 3000 | 2.4334  | 8.3889          | 2.1905 | 8.5389 | 8.4444 | 37.7767   |
+| 2.4641        | 4.7407 | 3200 | 2.4252  | 9.3056          | 2.0    | 9.2889 | 9.2222 | 39.2233   |
+
+
+### Framework versions
+
+- Transformers 4.41.0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "max_length": 200,
+  "num_beams": 5,
+  "pad_token_id": 1,
+  "transformers_version": "4.41.0"
+}

model.safetensors

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