Instructions to use taiypeo/bart-large-aeslc-10-cnt-supervised-basic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use taiypeo/bart-large-aeslc-10-cnt-supervised-basic with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("taiypeo/bart-large-aeslc-10-cnt-supervised-basic") model = AutoModelForSeq2SeqLM.from_pretrained("taiypeo/bart-large-aeslc-10-cnt-supervised-basic") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files- README.md +72 -0
- generation_config.json +12 -0
- merges.txt +0 -0
- model.safetensors +1 -1
- special_tokens_map.json +15 -0
- tokenizer.json +0 -0
- tokenizer_config.json +58 -0
- vocab.json +0 -0
README.md
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---
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library_name: transformers
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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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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: bart-large-aeslc-10-cnt-supervised-basic
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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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# bart-large-aeslc-10-cnt-supervised-basic
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This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.5122
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- Rouge1: 0.2421
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- Rouge2: 0.1162
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- Rougel: 0.23
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- Rougelsum: 0.2305
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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: 8
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- eval_batch_size: 8
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- seed: 42
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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_ratio: 0.06
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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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| 4.8115 | 2.5 | 5 | 5.6510 | 0.1512 | 0.0659 | 0.1397 | 0.1397 |
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| 2.9123 | 5.0 | 10 | 4.9927 | 0.232 | 0.1171 | 0.2223 | 0.2229 |
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| 1.4885 | 7.5 | 15 | 5.0836 | 0.2577 | 0.1312 | 0.2487 | 0.2493 |
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| 1.2593 | 10.0 | 20 | 5.1864 | 0.2555 | 0.1244 | 0.2435 | 0.244 |
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| 0.9244 | 12.5 | 25 | 5.3341 | 0.2493 | 0.1196 | 0.2361 | 0.2364 |
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| 0.8451 | 15.0 | 30 | 5.4642 | 0.2438 | 0.1175 | 0.2315 | 0.2318 |
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| 0.9148 | 17.5 | 35 | 5.5031 | 0.2433 | 0.1167 | 0.2313 | 0.2316 |
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| 0.6394 | 20.0 | 40 | 5.5122 | 0.2421 | 0.1162 | 0.23 | 0.2305 |
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### Framework versions
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- Transformers 4.53.3
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- Pytorch 2.6.0+cu124
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- Datasets 3.6.0
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- Tokenizers 0.21.2
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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": "4.53.3"
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}
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merges.txt
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 1625426996
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version https://git-lfs.github.com/spec/v1
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oid sha256:7d62ff37073688026f3974d8eaf6e606d7a2db8aa50c7893d1e1768a122b7cdd
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size 1625426996
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special_tokens_map.json
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{
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"unk_token": "<unk>"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"0": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"3": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"50264": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"cls_token": "<s>",
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"eos_token": "</s>",
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"errors": "replace",
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"extra_special_tokens": {},
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"mask_token": "<mask>",
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"model_max_length": 1024,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"tokenizer_class": "BartTokenizer",
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"trim_offsets": true,
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"unk_token": "<unk>"
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}
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vocab.json
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