New model from https://wandb.ai/wandb/huggingtweets/runs/vgga859n

README.md

@@ -42,20 +42,20 @@ The model was trained on tweets from Rebecca Fiebrink.
 
 | Data | Rebecca Fiebrink |
 | --- | --- |
-| Tweets downloaded | 2004 |
-| Retweets | 737 |
+| Tweets downloaded | 2010 |
+| Retweets | 735 |
 | Short tweets | 116 |
-| Tweets kept | 1151 |
+| Tweets kept | 1159 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/8itjfifa/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/4esn0lor/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 @rebeccafiebrink's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2n4f63iz) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/vgga859n) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2n4f63iz/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/vgga859n/artifacts) is logged and versioned.
 
 ## How to use
 

config.json

@@ -37,7 +37,7 @@
     }
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.17.0",
+  "transformers_version": "4.19.2",
   "use_cache": true,
   "vocab_size": 50257
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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-oid sha256:068b69df7e7fa0dbfab495c66f6e1fa021d8f446ad12905f12ede02a9fa5eb22
-size 510404393
+oid sha256:7905d43a6fc701d413855e8199dad17aef8adbf3a7b48299686ce7dafa2ec444
+size 510396521

tokenizer.json

@@ -17,17 +17,20 @@
   "pre_tokenizer": {
     "type": "ByteLevel",
     "add_prefix_space": false,
-    "trim_offsets": true
+    "trim_offsets": true,
+    "use_regex": true
   },
   "post_processor": {
     "type": "ByteLevel",
     "add_prefix_space": true,
-    "trim_offsets": false
+    "trim_offsets": false,
+    "use_regex": true
   },
   "decoder": {
     "type": "ByteLevel",
     "add_prefix_space": true,
-    "trim_offsets": true
+    "trim_offsets": true,
+    "use_regex": true
   },
   "model": {
     "type": "BPE",

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:793681168e40c94f07772ccd77c29c47b2cecbd0e39b28521ddddde53e97f7eb
-size 3055
+oid sha256:38f578a4d4511bc96b0dcf1fc001321971bfa0ad7273c99ab2c9ed3eb38ef3a3
+size 3247