system HF Staff commited on
Commit
8efd6d7
·
1 Parent(s): 592a78b

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +7 -7
README.md CHANGED
@@ -1,6 +1,6 @@
1
  ---
2
  language: en
3
- thumbnail: https://www.huggingtweets.com/seocamp/1600841679393/predictions.png
4
  tags:
5
  - huggingtweets
6
  widget:
@@ -51,7 +51,7 @@ The model was trained on [@seocamp's tweets](https://twitter.com/seocamp).
51
  <tbody style='border-width:0'>
52
  <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
53
  <td style='border-width:0'>Tweets downloaded</td>
54
- <td style='border-width:0'>3237</td>
55
  </tr>
56
  <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
57
  <td style='border-width:0'>Retweets</td>
@@ -63,20 +63,20 @@ The model was trained on [@seocamp's tweets](https://twitter.com/seocamp).
63
  </tr>
64
  <tr style='border-width:0'>
65
  <td style='border-width:0'>Tweets kept</td>
66
- <td style='border-width:0'>2335</td>
67
  </tr>
68
  </tbody>
69
  </table>
70
 
71
- [Explore the data](https://app.wandb.ai/wandb/huggingtweets/runs/39nfzwb0/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
72
 
73
  ## Training procedure
74
 
75
  The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @seocamp's tweets.
76
 
77
- Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets/runs/wmkn6vun) for full transparency and reproducibility.
78
 
79
- At the end of training, [the final model](https://app.wandb.ai/wandb/huggingtweets/runs/wmkn6vun/artifacts) is logged and versioned.
80
 
81
  ## Intended uses & limitations
82
 
@@ -110,4 +110,4 @@ For more details, visit the project repository.
110
 
111
  [![GitHub stars](https://img.shields.io/github/stars/borisdayma/huggingtweets?style=social)](https://github.com/borisdayma/huggingtweets)
112
 
113
- <!--- random size file -->
 
1
  ---
2
  language: en
3
+ thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
4
  tags:
5
  - huggingtweets
6
  widget:
 
51
  <tbody style='border-width:0'>
52
  <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
53
  <td style='border-width:0'>Tweets downloaded</td>
54
+ <td style='border-width:0'>3238</td>
55
  </tr>
56
  <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
57
  <td style='border-width:0'>Retweets</td>
 
63
  </tr>
64
  <tr style='border-width:0'>
65
  <td style='border-width:0'>Tweets kept</td>
66
+ <td style='border-width:0'>2336</td>
67
  </tr>
68
  </tbody>
69
  </table>
70
 
71
+ [Explore the data](https://app.wandb.ai/wandb/huggingtweets/runs/2g3bq1ht/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
72
 
73
  ## Training procedure
74
 
75
  The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @seocamp's tweets.
76
 
77
+ Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets/runs/2725jswm) for full transparency and reproducibility.
78
 
79
+ At the end of training, [the final model](https://app.wandb.ai/wandb/huggingtweets/runs/2725jswm/artifacts) is logged and versioned.
80
 
81
  ## Intended uses & limitations
82
 
 
110
 
111
  [![GitHub stars](https://img.shields.io/github/stars/borisdayma/huggingtweets?style=social)](https://github.com/borisdayma/huggingtweets)
112
 
113
+ <!--- random size file -->