Upload 8 files
Browse files- README.md +10 -10
- all_results.json +12 -12
- eval_results.json +6 -6
- model.safetensors +1 -1
- train_results.json +6 -6
- trainer_state.json +2068 -360
- training_args.bin +1 -1
README.md
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@@ -4,19 +4,19 @@ base_model: agentlans/multilingual-e5-small-aligned
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tags:
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- generated_from_trainer
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model-index:
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- name: multilingual-e5-small-aligned-sentiment
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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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# multilingual-e5-small-aligned-sentiment
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This model is a fine-tuned version of [agentlans/multilingual-e5-small-aligned](https://huggingface.co/agentlans/multilingual-e5-small-aligned) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Mse: 0.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size:
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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### Training results
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| Training Loss | Epoch | Step
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### Framework versions
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tags:
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- generated_from_trainer
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model-index:
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- name: multilingual-e5-small-aligned-transformed-sentiment
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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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# multilingual-e5-small-aligned-transformed-sentiment
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This model is a fine-tuned version of [agentlans/multilingual-e5-small-aligned](https://huggingface.co/agentlans/multilingual-e5-small-aligned) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2082
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- Mse: 0.2082
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Mse |
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|:-------------:|:-----:|:------:|:---------------:|:------:|
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| 0.1898 | 1.0 | 54191 | 0.2322 | 0.2322 |
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| 0.1186 | 2.0 | 108382 | 0.2139 | 0.2139 |
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| 0.0861 | 3.0 | 162573 | 0.2082 | 0.2082 |
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### Framework versions
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