New model from https://wandb.ai/wandb/huggingtweets/runs/hjrxi7hf

README.md

@@ -42,20 +42,20 @@ The model was trained on tweets from wint.
 
 | Data | wint |
 | --- | --- |
-| Tweets downloaded | 3233 |
-| Retweets | 520 |
-| Short tweets | 273 |
-| Tweets kept | 2440 |
+| Tweets downloaded | 3230 |
+| Retweets | 518 |
+| Short tweets | 278 |
+| Tweets kept | 2434 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/v9j29iyc/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
+[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/bvq9aj5z/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
 
 ## Training procedure
 
 The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @dril's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/5g1jywhh) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/hjrxi7hf) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/5g1jywhh/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/hjrxi7hf/artifacts) is logged and versioned.
 
 ## How to use
 

config.json

@@ -37,7 +37,7 @@
     }
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.27.1",
+  "transformers_version": "4.27.4",
   "use_cache": true,
   "vocab_size": 50257
 }

generation_config.json

@@ -2,5 +2,5 @@
   "_from_model_config": true,
   "bos_token_id": 50256,
   "eos_token_id": 50256,
-  "transformers_version": "4.27.1"
+  "transformers_version": "4.27.4"
 }

merges.txt

@@ -1,4 +1,4 @@
-#version: 0.2 - Trained by `huggingface/tokenizers`
+#version: 0.2
 Ġ t
 Ġ a
 h e

pytorch_model.bin

@@ -1,3 +1,3 @@
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-oid sha256:fddeb82c5351e915a31d1ac9744fd9439233c639ec17ce1cd0436e780f39f1bd
+oid sha256:0fb5cfcb2580901ae704908e0f175284d245339677d87da6126890162972f16c
 size 510398013

tokenizer.json

@@ -39,6 +39,7 @@
     "continuing_subword_prefix": "",
     "end_of_word_suffix": "",
     "fuse_unk": false,
+    "byte_fallback": false,
     "vocab": {
       "!": 0,
       "\"": 1,

training_args.bin

@@ -1,3 +1,3 @@
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-oid sha256:6e9c8d2bd1c987819b17797d769d241944e4ca64fdd36fc9e2d2a7c551be22e2
+oid sha256:703b8b92aeae96529c6559f97bc6099527e57e19c1458148678aaa3e4ad2d151
 size 3579