End of training

README.md

@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [finiteautomata/beto-emotion-analysis](https://huggingface.co/finiteautomata/beto-emotion-analysis) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0010
+- Loss: 1.1415
 
 ## Model description
 
@@ -43,16 +43,16 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 1    | 0.0035          |
-| No log        | 2.0   | 2    | 0.0389          |
-| No log        | 3.0   | 3    | 0.0012          |
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 1.406         | 1.0   | 6705  | 1.3510          |
+| 1.2393        | 2.0   | 13410 | 1.2051          |
+| 1.1622        | 3.0   | 20115 | 1.1410          |
 
 
 ### Framework versions
 
-- Transformers 4.33.1
+- Transformers 4.34.0
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.5
-- Tokenizers 0.13.3
+- Tokenizers 0.14.0

generation_config.json

@@ -1,5 +1,5 @@
 {
   "_from_model_config": true,
   "pad_token_id": 1,
-  "transformers_version": "4.33.1"
+  "transformers_version": "4.34.0"
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:77ff1532bf22a0bf3a95c01fe1380d40f01e8f60b820b445bb55834d7c79467b
 size 439614901