End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: parambharat/whisper-small-ta
+tags:
+- generated_from_trainer
+model-index:
+- name: MTF-ta-en-translation
+  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. -->
+
+# MTF-ta-en-translation
+
+This model is a fine-tuned version of [parambharat/whisper-small-ta](https://huggingface.co/parambharat/whisper-small-ta) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1324
+- Bleu Score: 0.0299
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Bleu Score |
+|:-------------:|:-------:|:----:|:---------------:|:----------:|
+| 0.0939        | 2.9412  | 250  | 0.0864          | 0.0302     |
+| 0.0227        | 5.8824  | 500  | 0.0998          | 0.0301     |
+| 0.0048        | 8.8235  | 750  | 0.1083          | 0.0340     |
+| 0.001         | 11.7647 | 1000 | 0.1132          | 0.0312     |
+| 0.0005        | 14.7059 | 1250 | 0.1164          | 0.0308     |
+| 0.0003        | 17.6471 | 1500 | 0.1189          | 0.0322     |
+| 0.0002        | 20.5882 | 1750 | 0.1208          | 0.0311     |
+| 0.0002        | 23.5294 | 2000 | 0.1225          | 0.0307     |
+| 0.0002        | 26.4706 | 2250 | 0.1242          | 0.0334     |
+| 0.0001        | 29.4118 | 2500 | 0.1256          | 0.0321     |
+| 0.0001        | 32.3529 | 2750 | 0.1268          | 0.0327     |
+| 0.0001        | 35.2941 | 3000 | 0.1277          | 0.0324     |
+| 0.0001        | 38.2353 | 3250 | 0.1286          | 0.0311     |
+| 0.0001        | 41.1765 | 3500 | 0.1295          | 0.0309     |
+| 0.0001        | 44.1176 | 3750 | 0.1302          | 0.0311     |
+| 0.0001        | 47.0588 | 4000 | 0.1308          | 0.0310     |
+| 0.0001        | 50.0    | 4250 | 0.1314          | 0.0313     |
+| 0.0001        | 52.9412 | 4500 | 0.1320          | 0.0298     |
+| 0.0001        | 55.8824 | 4750 | 0.1323          | 0.0299     |
+| 0.0           | 58.8235 | 5000 | 0.1324          | 0.0299     |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

generation_config.json

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+{
+  "begin_suppress_tokens": [
+    220,
+    50257
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "forced_decoder_ids": [
+    [
+      1,
+      50287
+    ],
+    [
+      2,
+      50358
+    ],
+    [
+      3,
+      50363
+    ]
+  ],
+  "max_length": 448,
+  "pad_token_id": 50257,
+  "transformers_version": "4.48.3",
+  "use_cache": false
+}

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 size 966995080

runs/Feb22_11-57-24_kudsit-dgxserver/events.out.tfevents.1740205644.kudsit-dgxserver.1352970.0

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