End of training
Browse files- README.md +72 -0
- generation_config.json +9 -0
- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: google/long-t5-tglobal-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: LongT5-Large-NSPCC
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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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# LongT5-Large-NSPCC
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This model is a fine-tuned version of [google/long-t5-tglobal-large](https://huggingface.co/google/long-t5-tglobal-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5481
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- Rouge1: 0.4597
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- Rouge2: 0.1665
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- Rougel: 0.2562
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- Rougelsum: 0.2557
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- Gen Len: 250.6383
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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: 1
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 4
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 6
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:--------:|
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| 6.0521 | 1.0 | 188 | 2.8154 | 0.2268 | 0.0411 | 0.1627 | 0.1626 | 145.7447 |
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| 2.5796 | 2.0 | 377 | 1.9961 | 0.3798 | 0.1115 | 0.2103 | 0.2101 | 220.234 |
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| 2.0398 | 3.0 | 566 | 1.7703 | 0.4208 | 0.1319 | 0.2255 | 0.2258 | 299.6915 |
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| 1.7329 | 4.0 | 755 | 1.5996 | 0.4427 | 0.1488 | 0.2423 | 0.2424 | 255.2553 |
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| 1.5609 | 5.0 | 943 | 1.5510 | 0.4688 | 0.1726 | 0.2578 | 0.2576 | 289.2979 |
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| 1.4733 | 5.98 | 1128 | 1.5481 | 0.4597 | 0.1665 | 0.2562 | 0.2557 | 250.6383 |
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### Framework versions
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- Transformers 4.39.2
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- Pytorch 2.2.1+cu121
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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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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"max_new_tokens": 400,
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"no_repeat_ngram_size": 5,
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"num_beams": 3,
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"pad_token_id": 0,
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"transformers_version": "4.39.2"
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}
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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 3132774536
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version https://git-lfs.github.com/spec/v1
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oid sha256:fa2f3eb3c63f6f12345249ed45486bfa1ea0d26880dbcaa962c26ace69c85a07
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size 3132774536
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