New model from https://wandb.ai/wandb/huggingtweets/runs/250irlis

README.md

@@ -1,6 +1,6 @@
 ---
 language: en
-thumbnail: https://www.huggingtweets.com/ibjiyongi/1602172919555/predictions.png
+thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
 tags:
 - huggingtweets
 widget:
@@ -21,7 +21,7 @@ widget:
 <div>
 <div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1299164565662507008/TKlwtwO-_400x400.jpg')">
 </div>
-<div style="margin-top: 8px; font-size: 19px; font-weight: 800">Chanda Prescod-Weinstein, #Justice4AnthonyMcClain 🤖 AI Bot </div>
+<div style="margin-top: 8px; font-size: 19px; font-weight: 800">Ethereal AnarchoPansexual Chanda Prescod-Weinstein 🤖 AI Bot </div>
 <div style="font-size: 15px; color: #657786">@ibjiyongi bot</div>
 </div>
 
@@ -51,32 +51,32 @@ The model was trained on [@ibjiyongi's tweets](https://twitter.com/ibjiyongi).
 <tbody style='border-width:0'>
 <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
 <td style='border-width:0'>Tweets downloaded</td>
-<td style='border-width:0'>3225</td>
+<td style='border-width:0'>3203</td>
 </tr>
 <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
 <td style='border-width:0'>Retweets</td>
-<td style='border-width:0'>908</td>
+<td style='border-width:0'>884</td>
 </tr>
 <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
 <td style='border-width:0'>Short tweets</td>
-<td style='border-width:0'>324</td>
+<td style='border-width:0'>352</td>
 </tr>
 <tr style='border-width:0'>
 <td style='border-width:0'>Tweets kept</td>
-<td style='border-width:0'>1993</td>
+<td style='border-width:0'>1967</td>
 </tr>
 </tbody>
 </table>
 
-[Explore the data](https://app.wandb.ai/wandb/huggingtweets/runs/11x75cks/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/2anzzpiv/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 @ibjiyongi's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets/runs/2dan6nuc) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/250irlis) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://app.wandb.ai/wandb/huggingtweets/runs/2dan6nuc/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/250irlis/artifacts) is logged and versioned.
 
 ## Intended uses & limitations
 
@@ -110,4 +110,4 @@ For more details, visit the project repository.
 
 [![GitHub stars](https://img.shields.io/github/stars/borisdayma/huggingtweets?style=social)](https://github.com/borisdayma/huggingtweets)
 
-<!--- random size file                                                                              -->
+<!--- random size file                                     -->

config.json

@@ -1,4 +1,5 @@
 {
+  "_name_or_path": "gpt2",
   "activation_function": "gelu_new",
   "architectures": [
     "GPT2LMHeadModel"
@@ -7,6 +8,7 @@
   "bos_token_id": 50256,
   "embd_pdrop": 0.1,
   "eos_token_id": 50256,
+  "gradient_checkpointing": false,
   "initializer_range": 0.02,
   "layer_norm_epsilon": 1e-05,
   "model_type": "gpt2",
@@ -32,5 +34,6 @@
       "top_p": 0.95
     }
   },
+  "use_cache": true,
   "vocab_size": 50257
 }

merges.txt

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

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:27cb082c340da772d876c1b463ea011f84f046971c26af18045d15c99ef0813d
-size 510406559
+oid sha256:823fa8c782214e7ad20c416207ca295cad4a9d7e259ffcb86eeed1c5263b6a47
+size 510406560

special_tokens_map.json

@@ -1 +1 @@
-{"bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "eos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}}
+{"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}

tokenizer_config.json

@@ -1 +1 @@
-{"model_max_length": 1024}
+{"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "add_prefix_space": false, "model_max_length": 1024, "name_or_path": "gpt2"}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a742ef05d4765949760ca8398a599c7fb78ca1d691e1b56561899a5426a49ccf
+size 1775