trainer: training complete at 2024-10-29 15:21:33.939686.

README.md

@@ -62,7 +62,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - num_epochs: 5
 
@@ -79,7 +79,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.45.2
+- Transformers 4.46.0
 - Pytorch 2.5.0+cu124
-- Datasets 2.19.1
+- Datasets 3.0.2
 - Tokenizers 0.20.1

meta_data/README_s42_e5.md

@@ -62,7 +62,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - num_epochs: 5
 
@@ -79,7 +79,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.45.2
+- Transformers 4.46.0
 - Pytorch 2.5.0+cu124
-- Datasets 2.19.1
+- Datasets 3.0.2
 - Tokenizers 0.20.1

meta_data/meta_s42_e5_cvi0.json

@@ -1 +1 @@
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+{"B": {"precision": 0.8861301369863014, "recall": 0.913503971756399, "f1-score": 0.8996088657105606, "support": 1133.0}, "I": {"precision": 0.9856182499448976, "recall": 0.978661705969251, "f1-score": 0.9821276595744681, "support": 18277.0}, "O": {"precision": 0.963097033685269, "recall": 0.9722870774540656, "f1-score": 0.9676702364113963, "support": 9851.0}, "accuracy": 0.9739926865110556, "macro avg": {"precision": 0.9449484735388226, "recall": 0.9548175850599052, "f1-score": 0.9498022538988083, "support": 29261.0}, "weighted avg": {"precision": 0.9741840360302777, "recall": 0.9739926865110556, "f1-score": 0.9740652601681857, "support": 29261.0}}

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:41b8d40517218dac82dd91264578c07f8eca90ed92129f696683f1b8e080f4a2
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