Model save

README.md

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+---
+license: cc-by-nc-4.0
+base_model: facebook/nllb-200-distilled-600M
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: nllb-200-distilled-600M-finetuned_ramayana_sns_prose_lexrank_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. -->
+
+# nllb-200-distilled-600M-finetuned_ramayana_sns_prose_lexrank_new
+
+This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.5955
+- Rouge1: 17.0715
+- Rouge2: 1.7786
+- Rougel: 13.4279
+- Rougelsum: 15.116
+
+## 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: 1e-05
+- train_batch_size: 5
+- eval_batch_size: 5
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
+| 3.8967        | 1.0   | 86   | 3.7945          | 15.1996 | 1.2821 | 12.4518 | 13.4409   |
+| 3.8364        | 2.0   | 172  | 3.7584          | 15.4522 | 1.4203 | 12.6976 | 13.5883   |
+| 3.8006        | 3.0   | 258  | 3.7351          | 15.6107 | 1.5487 | 12.7653 | 13.6495   |
+| 3.7663        | 4.0   | 344  | 3.7081          | 15.7318 | 1.4526 | 12.9915 | 13.8208   |
+| 3.7108        | 5.0   | 430  | 3.6849          | 14.9819 | 1.335  | 12.3487 | 12.9351   |
+| 3.6932        | 6.0   | 516  | 3.6721          | 15.7441 | 1.3281 | 12.943  | 13.6367   |
+| 3.6635        | 7.0   | 602  | 3.6599          | 15.7133 | 1.4432 | 12.6204 | 13.7309   |
+| 3.6417        | 8.0   | 688  | 3.6425          | 16.0359 | 1.5975 | 13.0271 | 14.1899   |
+| 3.6241        | 9.0   | 774  | 3.6298          | 16.6481 | 1.7167 | 13.266  | 14.5474   |
+| 3.603         | 10.0  | 860  | 3.6209          | 16.5086 | 1.7139 | 13.059  | 14.5272   |
+| 3.5692        | 11.0  | 946  | 3.6120          | 16.7846 | 1.5967 | 13.171  | 14.6977   |
+| 3.5757        | 12.0  | 1032 | 3.6078          | 16.7106 | 1.7489 | 13.277  | 14.8431   |
+| 3.553         | 13.0  | 1118 | 3.6010          | 17.297  | 1.7352 | 13.4176 | 15.4798   |
+| 3.547         | 14.0  | 1204 | 3.5955          | 17.0715 | 1.7786 | 13.4279 | 15.116    |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.19.2
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "max_length": 200,
+  "pad_token_id": 1,
+  "transformers_version": "4.41.2"
+}

runs/Jun14_16-57-16_sanskrit/events.out.tfevents.1718386569.sanskrit.1071000.3

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8f4c54cc643818235e29225fff746c0535cd81da1b7520c5eb1644e83dc908fa
+size 562