Upload 8 files
Browse files- README.md +9 -13
- all_results.json +12 -12
- eval_results.json +6 -6
- model.safetensors +1 -1
- train_results.json +6 -6
- trainer_state.json +220 -1032
- training_args.bin +1 -1
README.md
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---
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library_name: transformers
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base_model: agentlans/multilingual-e5-small-aligned
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language:
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- multilingual
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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-
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results: []
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datasets:
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- agentlans/en-translations
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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-
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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 Loss | Epoch | Step | Validation Loss | Mse |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|
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### Framework versions
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- Transformers 4.46.3
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- Pytorch 2.5.1+cu124
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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---
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library_name: transformers
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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-readability-20241214-new
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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-readability-20241214-new
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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: 0.1234
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- Mse: 0.1234
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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: 128
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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 Loss | Epoch | Step | Validation Loss | Mse |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|
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| 0.1484 | 1.0 | 7813 | 0.1324 | 0.1324 |
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| 0.1157 | 2.0 | 15626 | 0.1241 | 0.1241 |
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| 0.096 | 3.0 | 23439 | 0.1234 | 0.1234 |
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### Framework versions
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- Transformers 4.46.3
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- Pytorch 2.5.1+cu124
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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all_results.json
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|
|
| 351 |
{
|
| 352 |
"epoch": 3.0,
|
| 353 |
+
"eval_loss": 0.12343376874923706,
|
| 354 |
+
"eval_mse": 0.12343375904401642,
|
| 355 |
+
"eval_runtime": 98.083,
|
| 356 |
+
"eval_samples_per_second": 1856.703,
|
| 357 |
+
"eval_steps_per_second": 232.089,
|
| 358 |
+
"step": 23439
|
| 359 |
},
|
| 360 |
{
|
| 361 |
"epoch": 3.0,
|
| 362 |
+
"step": 23439,
|
| 363 |
+
"total_flos": 4.9403660544e+16,
|
| 364 |
+
"train_loss": 0.12799415017126403,
|
| 365 |
+
"train_runtime": 3304.0151,
|
| 366 |
+
"train_samples_per_second": 907.986,
|
| 367 |
+
"train_steps_per_second": 7.094
|
| 368 |
}
|
| 369 |
],
|
| 370 |
"logging_steps": 500,
|
| 371 |
+
"max_steps": 23439,
|
| 372 |
"num_input_tokens_seen": 0,
|
| 373 |
"num_train_epochs": 3,
|
| 374 |
"save_steps": 500,
|
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|
| 384 |
"attributes": {}
|
| 385 |
}
|
| 386 |
},
|
| 387 |
+
"total_flos": 4.9403660544e+16,
|
| 388 |
+
"train_batch_size": 128,
|
| 389 |
"trial_name": null,
|
| 390 |
"trial_params": null
|
| 391 |
}
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5368
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:793b914c08d676ee8da235d2abbfc74fb2138329f5b854e5c11d0eb0e3edc5d7
|
| 3 |
size 5368
|