Model save
Browse files- README.md +99 -0
- adapter_model.safetensors +1 -1
README.md
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---
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library_name: peft
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license: apache-2.0
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base_model: Helsinki-NLP/opus-mt-en-mr
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tags:
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- generated_from_trainer
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model-index:
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- name: english-marathi-colloquial-translator-updated
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# english-marathi-colloquial-translator-updated
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-mr](https://huggingface.co/Helsinki-NLP/opus-mt-en-mr) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6189
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 8
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 2
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:-----:|:---------------:|
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| 0.5693 | 0.08 | 500 | 0.6740 |
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| 0.8813 | 0.16 | 1000 | 0.6623 |
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| 0.4563 | 0.24 | 1500 | 0.6546 |
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| 0.306 | 0.32 | 2000 | 0.6500 |
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| 0.4356 | 0.4 | 2500 | 0.6460 |
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| 0.9248 | 0.48 | 3000 | 0.6441 |
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| 0.5172 | 0.56 | 3500 | 0.6410 |
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| 0.6833 | 0.64 | 4000 | 0.6391 |
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| 0.6665 | 0.72 | 4500 | 0.6365 |
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| 0.6056 | 0.8 | 5000 | 0.6360 |
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| 0.7969 | 0.88 | 5500 | 0.6338 |
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| 1.0205 | 0.96 | 6000 | 0.6325 |
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| 0.7191 | 1.04 | 6500 | 0.6312 |
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| 0.7727 | 1.12 | 7000 | 0.6300 |
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| 0.7991 | 1.2 | 7500 | 0.6287 |
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| 0.4923 | 1.28 | 8000 | 0.6286 |
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| 0.4553 | 1.3600 | 8500 | 0.6270 |
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| 0.9829 | 1.44 | 9000 | 0.6265 |
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| 0.8621 | 1.52 | 9500 | 0.6257 |
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| 0.6201 | 1.6 | 10000 | 0.6242 |
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| 0.9138 | 1.6800 | 10500 | 0.6234 |
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| 0.5501 | 1.76 | 11000 | 0.6233 |
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| 0.7267 | 1.8400 | 11500 | 0.6232 |
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| 0.7323 | 1.92 | 12000 | 0.6223 |
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| 1.0083 | 2.0 | 12500 | 0.6222 |
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| 0.3809 | 2.08 | 13000 | 0.6220 |
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| 0.9979 | 2.16 | 13500 | 0.6214 |
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| 0.5853 | 2.24 | 14000 | 0.6211 |
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| 0.6319 | 2.32 | 14500 | 0.6207 |
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| 0.7518 | 2.4 | 15000 | 0.6206 |
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| 0.6834 | 2.48 | 15500 | 0.6198 |
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| 0.246 | 2.56 | 16000 | 0.6198 |
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| 0.5533 | 2.64 | 16500 | 0.6194 |
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| 0.5569 | 2.7200 | 17000 | 0.6193 |
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| 0.5367 | 2.8 | 17500 | 0.6189 |
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| 0.5825 | 2.88 | 18000 | 0.6189 |
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| 0.8336 | 2.96 | 18500 | 0.6189 |
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### Framework versions
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- PEFT 0.14.0
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- Transformers 4.48.3
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- Pytorch 2.6.0+cu124
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- Datasets 3.3.1
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- Tokenizers 0.21.0
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adapter_model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 3554032
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version https://git-lfs.github.com/spec/v1
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oid sha256:e150e793aface21c69791d6778aa86a65f8be1e9bc46e89e92f48895e069bb37
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size 3554032
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