New model from https://wandb.ai/wandb/huggingtweets/runs/1g1wg3dc

README.md

@@ -7,22 +7,21 @@ widget:
 - text: "My dream is"
 ---
 
-<link rel="stylesheet" href="https://unpkg.com/@tailwindcss/[email protected]/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/1115644092329758721/AFjOr-K8_400x400.jpg')">
-</div>
-<div style="margin-top: 8px; font-size: 19px; font-weight: 800">jack 🤖 AI Bot </div>
-<div style="font-size: 15px; color: #657786">@jack 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/1115644092329758721/AFjOr-K8_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">jack⚡️</div>
+    <div style="text-align: center; font-size: 14px;">@jack</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 [@jack's tweets](https://twitter.com/jack).
-
-<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'>3188</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'>1072</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'>821</td>
-</tr>
-<tr style='border-width:0'>
-<td style='border-width:0'>Tweets kept</td>
-<td style='border-width:0'>1295</td>
-</tr>
-</tbody>
-</table>
-
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/113ef9im/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 jack⚡️.
+
+| Data | jack⚡️ |
+| --- | --- |
+| Tweets downloaded | 3229 |
+| Retweets | 1164 |
+| Short tweets | 813 |
+| Tweets kept | 1252 |
+
+[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/3ovhux87/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 @jack's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1otyqptl) for full transparency and reproducibility.
-
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1otyqptl/artifacts) is logged and versioned.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1g1wg3dc) for full transparency and reproducibility.
 
-## Intended uses & limitations
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1g1wg3dc/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/jack'</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/jack')
+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).
 
@@ -100,12 +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)

config.json

@@ -8,7 +8,6 @@
   "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",
@@ -18,7 +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,
@@ -34,6 +36,8 @@
       "top_p": 0.95
     }
   },
+  "torch_dtype": "float32",
+  "transformers_version": "4.18.0",
   "use_cache": true,
   "vocab_size": 50257
 }

flax_model.msgpack

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pytorch_model.bin

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tokenizer_config.json

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-{"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "add_prefix_space": false, "model_max_length": 1024, "name_or_path": "gpt2"}
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training_args.bin

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