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RogerB
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afro-xlmr-large-kinte-domain-kinte-task-unkin-sent3

Text Classification
Transformers
PyTorch
xlm-roberta
Generated from Trainer
Inference Endpoints
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RogerB commited on
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5ca9a66
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1 Parent(s): 95905e1

End of training

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Files changed (3) hide show
  1. README.md +6 -6
  2. config.json +6 -6
  3. pytorch_model.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [RogerB/afro-xlmr-large-kinte-domain-kinte-task](https://huggingface.co/RogerB/afro-xlmr-large-kinte-domain-kinte-task) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0146
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- - F1: 0.4825
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  ## Model description
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@@ -40,7 +40,7 @@ The following hyperparameters were used during training:
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  - learning_rate: 5e-06
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  - train_batch_size: 4
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  - eval_batch_size: 4
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- - seed: 725689
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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: 3
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 1.109 | 1.0 | 1013 | 1.0886 | 0.3808 |
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- | 1.094 | 2.0 | 2026 | 1.0201 | 0.5140 |
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- | 1.0311 | 3.0 | 3039 | 0.9908 | 0.5209 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [RogerB/afro-xlmr-large-kinte-domain-kinte-task](https://huggingface.co/RogerB/afro-xlmr-large-kinte-domain-kinte-task) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7943
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+ - F1: 0.6813
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  ## Model description
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  - learning_rate: 5e-06
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  - train_batch_size: 4
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  - eval_batch_size: 4
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+ - seed: 726105
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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: 3
 
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.9435 | 1.0 | 1013 | 0.7470 | 0.6962 |
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+ | 0.7633 | 2.0 | 2026 | 0.5672 | 0.7837 |
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+ | 0.6721 | 3.0 | 3039 | 0.5856 | 0.8014 |
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  ### Framework versions
config.json CHANGED
@@ -11,16 +11,16 @@
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 1024,
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  "id2label": {
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- "0": "LABEL_0",
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- "1": "LABEL_1",
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- "2": "LABEL_2"
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 4096,
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  "label2id": {
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- "LABEL_0": 0,
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- "LABEL_1": 1,
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- "LABEL_2": 2
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  },
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  "layer_norm_eps": 1e-05,
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  "max_position_embeddings": 514,
 
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 1024,
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  "id2label": {
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+ "0": "positive",
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+ "1": "neutral",
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+ "2": "negative"
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 4096,
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  "label2id": {
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+ "negative": 2,
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+ "neutral": 1,
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+ "positive": 0
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  },
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  "layer_norm_eps": 1e-05,
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  "max_position_embeddings": 514,
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
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  size 2239710062
 
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