Commit
·
3cbed44
1
Parent(s):
2f95de8
Model update
Browse files- README.md +16 -17
- all_results.json +13 -13
- config.json +1 -1
- eval_results.json +8 -8
- generation_config.json +1 -1
- pytorch_model-00001-of-00002.bin +1 -1
- pytorch_model-00002-of-00002.bin +1 -1
- runs/{Mar26_04-01-41_panacea/1679817763.2045138/events.out.tfevents.1679817763.panacea.358302.1 → May20_16-39-41_panacea/1684615241.5386765/events.out.tfevents.1684615241.panacea.344900.1} +2 -2
- runs/{Mar26_04-01-41_panacea/events.out.tfevents.1679817763.panacea.358302.0 → May20_16-39-41_panacea/events.out.tfevents.1684615241.panacea.344900.0} +2 -2
- runs/{Mar26_04-01-41_panacea/events.out.tfevents.1679871090.panacea.358302.2 → May20_16-39-41_panacea/events.out.tfevents.1684662404.panacea.344900.2} +1 -1
- tokenizer_config.json +1 -1
- train_results.json +6 -6
- trainer_state.json +693 -564
- training_args.bin +1 -1
README.md
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metrics:
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- accuracy
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model-index:
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- name:
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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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#
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This model is a fine-tuned version of [facebook/opt-2.7b](https://huggingface.co/facebook/opt-2.7b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.
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- Accuracy: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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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:
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- total_train_batch_size:
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.3551 | 3.51 | 1141 | 2.0624 | 0.7373 |
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### Framework versions
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- Transformers 4.
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- Pytorch
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- Datasets 2.7.1
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- Tokenizers 0.12.1
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metrics:
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- accuracy
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model-index:
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- name: opt-2.7b-realtime-chat-v2
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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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+
# opt-2.7b-realtime-chat-v2
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This model is a fine-tuned version of [facebook/opt-2.7b](https://huggingface.co/facebook/opt-2.7b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0888
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- Accuracy: 0.6870
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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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: 128
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- total_train_batch_size: 128
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 2.0974 | 0.5 | 51 | 2.1267 | 0.6826 |
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| 2.0842 | 1.0 | 102 | 2.0968 | 0.6859 |
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| 1.9624 | 1.49 | 153 | 2.0936 | 0.6863 |
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| 1.9476 | 1.99 | 204 | 2.0888 | 0.6870 |
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| 1.888 | 2.49 | 255 | 2.0993 | 0.6864 |
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| 1.8687 | 2.99 | 306 | 2.0994 | 0.6865 |
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.7.1
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- Tokenizers 0.12.1
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all_results.json
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config.json
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"vocab_size": 50265,
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eval_results.json
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generation_config.json
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