Instructions to use sehilnlf/model_v1e_5_8_8_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sehilnlf/model_v1e_5_8_8_4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sehilnlf/model_v1e_5_8_8_4") model = AutoModelForSeq2SeqLM.from_pretrained("sehilnlf/model_v1e_5_8_8_4") - Notebooks
- Google Colab
- Kaggle
version 1
Browse files
README.md
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---
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license: apache-2.0
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base_model: facebook/bart-large
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tags:
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- text2text-generation
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- generated_from_trainer
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metrics:
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- sacrebleu
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model-index:
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- name: model_v1e_5_8_8_4
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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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# model_v1e_5_8_8_4
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This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5522
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- Sacrebleu: 66.9834
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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: 1e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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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 | Sacrebleu |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|
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| No log | 1.0 | 218 | 0.5616 | 66.0295 |
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| No log | 2.0 | 437 | 0.5691 | 66.6355 |
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| No log | 3.0 | 656 | 0.5544 | 66.8901 |
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| No log | 4.0 | 875 | 0.5522 | 66.9834 |
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| No log | 5.0 | 1093 | 0.5686 | 67.0746 |
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| No log | 6.0 | 1312 | 0.5995 | 67.1015 |
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| No log | 7.0 | 1531 | 0.5663 | 67.1106 |
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| No log | 8.0 | 1750 | 0.5860 | 67.0824 |
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| No log | 9.0 | 1968 | 0.6075 | 67.1805 |
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| No log | 9.97 | 2180 | 0.6105 | 67.1350 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.1.2
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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generation_config.json
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{
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"bos_token_id": 0,
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"decoder_start_token_id": 2,
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"early_stopping": true,
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"eos_token_id": 2,
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"forced_bos_token_id": 0,
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"forced_eos_token_id": 2,
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"no_repeat_ngram_size": 3,
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"num_beams": 4,
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"pad_token_id": 1,
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"transformers_version": "4.39.3"
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}
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model.safetensors
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size 1625426996
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size 1625426996
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runs/May26_20-35-18_130b07e1ed31/events.out.tfevents.1716755900.130b07e1ed31.25.0
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size
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runs/May26_20-35-18_130b07e1ed31/events.out.tfevents.1716763807.130b07e1ed31.25.1
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