New model from https://wandb.ai/wandb/huggingtweets/runs/10wax6wi

README.md

@@ -1,28 +1,27 @@
 ---
 language: en
-thumbnail: https://www.huggingtweets.com/_bravit/1603725464691/predictions.png
+thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
 tags:
 - huggingtweets
 widget:
 - text: "My dream is"
 ---
 
-<link rel="stylesheet" href="https://unpkg.com/@tailwindcss/typography@0.2.x/dist/typography.min.css">
-
-<style>
-@media (prefers-color-scheme: dark) {
-  .prose { color: #E2E8F0 !important; }
-  .prose h2, .prose h3, .prose a, .prose thead { color: #F7FAFC !important; }
-}
-</style>
-
-<section class='prose'>
-
-<div>
-<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1173227862519963650/4YGv_qlD_400x400.jpg')">
-</div>
-<div style="margin-top: 8px; font-size: 19px; font-weight: 800">Виталий Брагилевский 🤖 AI Bot </div>
-<div style="font-size: 15px; color: #657786">@_bravit bot</div>
+<div class="inline-flex flex-col" style="line-height: 1.5;">
+    <div class="flex">
+        <div
+			style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;https://pbs.twimg.com/profile_images/1322230137493065729/-h1nJf6U_400x400.jpg&#39;)">
+        </div>
+        <div
+            style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;&#39;)">
+        </div>
+        <div
+            style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;&#39;)">
+        </div>
+    </div>
+    <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div>
+    <div style="text-align: center; font-size: 16px; font-weight: 800">Виталий Брагилевский</div>
+    <div style="text-align: center; font-size: 14px;">@_bravit</div>
 </div>
 
 I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
@@ -35,62 +34,41 @@ The model uses the following pipeline.
 
 ![pipeline](https://github.com/borisdayma/huggingtweets/blob/master/img/pipeline.png?raw=true)
 
-To understand how the model was developed, check the [W&B report](https://app.wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-model-to-generate-tweets--VmlldzoxMTY5MjI).
+To understand how the model was developed, check the [W&B report](https://wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-Model-to-Generate-Tweets--VmlldzoxMTY5MjI).
 
 ## Training data
 
-The model was trained on [@_bravit's tweets](https://twitter.com/_bravit).
-
-<table style='border-width:0'>
-<thead style='border-width:0'>
-<tr style='border-width:0 0 1px 0; border-color: #CBD5E0'>
-<th style='border-width:0'>Data</th>
-<th style='border-width:0'>Quantity</th>
-</tr>
-</thead>
-<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'>3226</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'>800</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'>505</td>
-</tr>
-<tr style='border-width:0'>
-<td style='border-width:0'>Tweets kept</td>
-<td style='border-width:0'>1921</td>
-</tr>
-</tbody>
-</table>
-
-[Explore the data](https://app.wandb.ai/wandb/huggingtweets/runs/2aavgmq5/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
+The model was trained on tweets from Виталий Брагилевский.
+
+| Data | Виталий Брагилевский |
+| --- | --- |
+| Tweets downloaded | 3233 |
+| Retweets | 884 |
+| Short tweets | 489 |
+| Tweets kept | 1860 |
+
+[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/3ekzbpfn/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 @_bravit's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets/runs/2j6zoydv) for full transparency and reproducibility.
-
-At the end of training, [the final model](https://app.wandb.ai/wandb/huggingtweets/runs/2j6zoydv/artifacts) is logged and versioned.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/10wax6wi) for full transparency and reproducibility.
 
-## Intended uses & limitations
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/10wax6wi/artifacts) is logged and versioned.
 
-### How to use
+## How to use
 
 You can use this model directly with a pipeline for text generation:
 
-<pre><code><span style="color:#03A9F4">from</span> transformers <span style="color:#03A9F4">import</span> pipeline
-generator = pipeline(<span style="color:#FF9800">'text-generation'</span>,
-                     model=<span style="color:#FF9800">'huggingtweets/_bravit'</span>)
-generator(<span style="color:#FF9800">"My dream is"</span>, num_return_sequences=<span style="color:#8BC34A">5</span>)</code></pre>
-
+```python
+from transformers import pipeline
+generator = pipeline('text-generation',
+                     model='huggingtweets/_bravit')
+generator("My dream is", num_return_sequences=5)
+```
 
-### Limitations and bias
+## Limitations and bias
 
 The model suffers from [the same limitations and bias as GPT-2](https://huggingface.co/gpt2#limitations-and-bias).
 
@@ -100,14 +78,8 @@ In addition, the data present in the user's tweets further affects the text gene
 
 *Built by Boris Dayma*
 
-</section>
-
 [![Follow](https://img.shields.io/twitter/follow/borisdayma?style=social)](https://twitter.com/intent/follow?screen_name=borisdayma)
 
-<section class='prose'>
 For more details, visit the project repository.
-</section>
 
 [![GitHub stars](https://img.shields.io/github/stars/borisdayma/huggingtweets?style=social)](https://github.com/borisdayma/huggingtweets)
-
-<!--- random size file                                               -->

config.json

@@ -1,4 +1,5 @@
 {
+  "_name_or_path": "gpt2",
   "activation_function": "gelu_new",
   "architectures": [
     "GPT2LMHeadModel"
@@ -16,7 +17,10 @@
   "n_inner": null,
   "n_layer": 12,
   "n_positions": 1024,
+  "reorder_and_upcast_attn": false,
   "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
   "summary_activation": null,
   "summary_first_dropout": 0.1,
   "summary_proj_to_labels": true,
@@ -32,5 +36,8 @@
       "top_p": 0.95
     }
   },
+  "torch_dtype": "float32",
+  "transformers_version": "4.12.5",
+  "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 @@
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-size 510406559
+oid sha256:29c9e2db8aba9941fef91892dba192996b4af95bff9cf73592311b785aaf4b28
+size 510403817

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, "special_tokens_map_file": null, "name_or_path": "gpt2", "tokenizer_class": "GPT2Tokenizer"}

flax_model.msgpack → training_args.bin

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+size 2863