boris commited on
Commit
9671146
1 Parent(s): 75b7a49

New model from https://wandb.ai/wandb/huggingtweets/runs/2itrzc1n

Browse files
Files changed (3) hide show
  1. README.md +6 -6
  2. pytorch_model.bin +1 -1
  3. training_args.bin +2 -2
README.md CHANGED
@@ -1,6 +1,6 @@
1
  ---
2
  language: en
3
- thumbnail: https://www.huggingtweets.com/queenofbithynia/1608183101281/predictions.png
4
  tags:
5
  - huggingtweets
6
  widget:
@@ -51,7 +51,7 @@ The model was trained on [@queenofbithynia's tweets](https://twitter.com/queenof
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'>3203</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 [@queenofbithynia's tweets](https://twitter.com/queenof
63
  </tr>
64
  <tr style='border-width:0'>
65
  <td style='border-width:0'>Tweets kept</td>
66
- <td style='border-width:0'>3157</td>
67
  </tr>
68
  </tbody>
69
  </table>
70
 
71
- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/3m3ynrfl/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 @queenofbithynia's tweets.
76
 
77
- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/4yrtay5g) for full transparency and reproducibility.
78
 
79
- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/4yrtay5g/artifacts) is logged and versioned.
80
 
81
  ## Intended uses & limitations
82
 
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'>3202</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'>3156</td>
67
  </tr>
68
  </tbody>
69
  </table>
70
 
71
+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1am0g5eu/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 @queenofbithynia's tweets.
76
 
77
+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2itrzc1n) for full transparency and reproducibility.
78
 
79
+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2itrzc1n/artifacts) is logged and versioned.
80
 
81
  ## Intended uses & limitations
82
 
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:cbbbbaffdee47c49beeb7c9467654cf7265740c2f6b42ff597285ff72dc75dd1
3
  size 510406560
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ade8a41011b3d7f30977dbebcaf25b3285681bc52b22c6e027d10c70e997d73a
3
  size 510406560
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1a2ce4a5f6061aac58629ed756650ca3895c77ee62defaa8fd6d6bf0c0acaa9d
3
- size 1775
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3a093b00e1beb41b4b61e2258fb06d7cf5d56dfcc7c3730659391a3400a85aab
3
+ size 1903