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
+  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
+
+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: 3.8356
+- Rouge1: 15.0234
+- Rouge2: 1.2752
+- Rougel: 12.4341
+- Rougelsum: 13.036
+
+## 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: 5.6e-06
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
+| 4.9309        | 1.0   | 86   | 4.4877          | 17.9643 | 1.8368 | 13.627  | 16.743    |
+| 4.5531        | 2.0   | 172  | 4.2961          | 7.7741  | 0.7819 | 6.5664  | 7.0319    |
+| 4.4082        | 3.0   | 258  | 4.1867          | 15.3171 | 1.2616 | 12.5029 | 13.4603   |
+| 4.3142        | 4.0   | 344  | 4.1128          | 14.7478 | 1.299  | 12.4545 | 12.8832   |
+| 4.22          | 5.0   | 430  | 4.0577          | 14.6397 | 1.1974 | 12.3644 | 12.5395   |
+| 4.1743        | 6.0   | 516  | 4.0173          | 14.7595 | 1.3556 | 12.4877 | 12.6788   |
+| 4.1279        | 7.0   | 602  | 3.9858          | 14.3561 | 1.3361 | 12.071  | 12.5251   |
+| 4.0927        | 8.0   | 688  | 3.9564          | 15.0213 | 1.3697 | 12.7109 | 13.1084   |
+| 4.0625        | 9.0   | 774  | 3.9320          | 15.2813 | 1.3317 | 12.635  | 13.4154   |
+| 4.0361        | 10.0  | 860  | 3.9113          | 15.0786 | 1.2544 | 12.6139 | 13.0141   |
+| 3.9913        | 11.0  | 946  | 3.8951          | 15.0242 | 1.2899 | 12.7049 | 13.1678   |
+| 3.9949        | 12.0  | 1032 | 3.8822          | 15.1567 | 1.3332 | 12.7349 | 13.1691   |
+| 3.9643        | 13.0  | 1118 | 3.8724          | 15.0434 | 1.2552 | 12.6509 | 13.1845   |
+| 3.96          | 14.0  | 1204 | 3.8608          | 14.5834 | 1.2768 | 12.1898 | 12.5734   |
+| 3.9524        | 15.0  | 1290 | 3.8533          | 14.6872 | 1.2161 | 12.2549 | 12.7557   |
+| 3.9345        | 16.0  | 1376 | 3.8443          | 15.0962 | 1.3235 | 12.5689 | 13.1217   |
+| 3.9359        | 17.0  | 1462 | 3.8407          | 14.7724 | 1.2323 | 12.4059 | 12.6775   |
+| 3.9213        | 18.0  | 1548 | 3.8367          | 14.6599 | 1.285  | 12.2237 | 12.7231   |
+| 3.9213        | 19.0  | 1634 | 3.8356          | 15.0234 | 1.2752 | 12.4341 | 13.036    |
+
+
+### 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_15-41-36_sanskrit/events.out.tfevents.1718382827.sanskrit.1071000.1

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9f8c3a60491bd5b7c4d8a75a4977f3fecbe479a9deb6081156eb4c97de7a62f3
+size 562