End of training

README.md

@@ -4,18 +4,18 @@ base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
 model-index:
-- name: Pictalk
+- name: pictalk
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# Pictalk
+# pictalk
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.3640
+- Loss: 2.3334
 
 ## Model description
 
@@ -47,14 +47,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 3.4239        | 1.0   | 157  | 3.4004          |
-| 3.3835        | 2.0   | 314  | 3.3259          |
-| 3.3555        | 3.0   | 471  | 3.3498          |
+| 2.4561        | 1.0   | 157  | 2.3629          |
+| 2.4393        | 2.0   | 314  | 2.3523          |
+| 2.4173        | 3.0   | 471  | 2.3654          |
 
 
 ### Framework versions
 
-- Transformers 4.36.2
-- Pytorch 2.1.2+cu121
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
 - Datasets 2.16.1
 - Tokenizers 0.15.0

config.json

@@ -19,6 +19,6 @@
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.36.2",
+  "transformers_version": "4.35.2",
   "vocab_size": 30522
 }

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training_args.bin

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