End of training

README.md

@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne-sqac](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne-sqac) on the sqac dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.3139
+- Loss: 2.6507
 
 ## Model description
 
@@ -38,25 +38,30 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 8
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 63   | 2.3011          |
-| No log        | 2.0   | 126  | 2.3378          |
-| No log        | 3.0   | 189  | 2.3139          |
+| No log        | 1.0   | 125  | 2.3875          |
+| No log        | 2.0   | 250  | 2.0798          |
+| No log        | 3.0   | 375  | 2.3743          |
+| 0.037         | 4.0   | 500  | 2.5574          |
+| 0.037         | 5.0   | 625  | 2.5534          |
+| 0.037         | 6.0   | 750  | 2.5964          |
+| 0.037         | 7.0   | 875  | 2.6484          |
+| 0.0005        | 8.0   | 1000 | 2.6507          |
 
 
 ### Framework versions
 
-- Transformers 4.45.1
-- Pytorch 2.4.0
-- Datasets 2.20.0
-- Tokenizers 0.20.0
+- Transformers 4.45.2
+- Pytorch 2.5.0
+- Datasets 3.0.1
+- Tokenizers 0.20.1

config.json

@@ -21,7 +21,7 @@
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
   "torch_dtype": "float32",
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+  "transformers_version": "4.45.2",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 50262

model.safetensors

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runs/Oct22_10-21-17_DESKTOP-P79TL96/events.out.tfevents.1729610494.DESKTOP-P79TL96.1780.0

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tokenizer.json

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   "truncation": {
     "direction": "Right",
-    "max_length": 512,
+    "max_length": 384,
     "strategy": "OnlySecond",
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+    "stride": 0
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   "padding": {
     "strategy": {
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+      "Fixed": 384
     },
     "direction": "Right",
     "pad_to_multiple_of": null,

training_args.bin

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