Training in progress, epoch 1

README.md

@@ -4,7 +4,7 @@ base_model: yhavinga/t5-small-24L-ccmatrix-multi
 tags:
 - generated_from_trainer
 metrics:
-- f1
+- accuracy
 model-index:
 - name: yhavinga_finetune_classification
   results: []
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [yhavinga/t5-small-24L-ccmatrix-multi](https://huggingface.co/yhavinga/t5-small-24L-ccmatrix-multi) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5212
-- F1: 0.0
+- Loss: 0.4035
+- Accuracy: 0.7374
 
 ## Model description
 
@@ -47,15 +47,15 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1  |
-|:-------------:|:-----:|:----:|:---------------:|:---:|
-| No log        | 1.0   | 110  | 0.6501          | 0.0 |
-| No log        | 2.0   | 220  | 0.5212          | 0.0 |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 110  | 0.4580          | 0.7374   |
+| No log        | 2.0   | 220  | 0.4035          | 0.7374   |
 
 
 ### Framework versions
 
-- Transformers 4.37.2
-- Pytorch 2.1.2+cu121
-- Datasets 2.16.1
-- Tokenizers 0.15.0
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

@@ -53,7 +53,7 @@
   },
   "tie_word_embeddings": false,
   "torch_dtype": "float32",
-  "transformers_version": "4.37.2",
+  "transformers_version": "4.38.2",
   "use_cache": true,
   "vocab_size": 32103
 }

model.safetensors

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runs/Mar22_03-05-21_80f2f935a68d/events.out.tfevents.1711076722.80f2f935a68d.3655.0

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training_args.bin

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