End of training
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README.md
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---
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license: apache-2.0
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base_model: DesilDev/Blocksmith
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tags:
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- generated_from_trainer
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datasets:
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- samsum
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metrics:
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- rouge
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model-index:
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- name: BlocksmithV2
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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dataset:
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name: samsum
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type: samsum
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config: samsum
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split: validation
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args: samsum
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metrics:
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- name: Rouge1
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type: rouge
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value: 39.0411
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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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# BlocksmithV2
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This model is a fine-tuned version of [DesilDev/Blocksmith](https://huggingface.co/DesilDev/Blocksmith) on the samsum dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8786
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- Rouge1: 39.0411
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- Rouge2: 16.2095
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- Rougel: 32.6745
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- Rougelsum: 35.9911
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- Gen Len: 16.28
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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: 2e-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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- 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: 1
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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| 2.115 | 1.0 | 921 | 1.8786 | 39.0411 | 16.2095 | 32.6745 | 35.9911 | 16.28 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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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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"pad_token_id": 0,
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"transformers_version": "4.42.4"
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}
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runs/Aug11_10-54-31_af363f7b90b5/events.out.tfevents.1723373691.af363f7b90b5.251.0
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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-
size
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version https://git-lfs.github.com/spec/v1
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oid sha256:3e9939568160f5263cd9fd714bb3f9a8146b009e474140851e4a591160dcb438
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size 12899
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