boris commited on
Commit
e27dab3
·
1 Parent(s): b269f4e

New model from https://wandb.ai/wandb/huggingtweets/runs/3kat9k6l

Browse files
Files changed (3) hide show
  1. README.md +5 -5
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -1,6 +1,6 @@
1
  ---
2
  language: en
3
- thumbnail: https://www.huggingtweets.com/alexwadecraig/1616646246180/predictions.png
4
  tags:
5
  - huggingtweets
6
  widget:
@@ -24,7 +24,7 @@ The model uses the following pipeline.
24
 
25
  ![pipeline](https://github.com/borisdayma/huggingtweets/blob/master/img/pipeline.png?raw=true)
26
 
27
- 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).
28
 
29
  ## Training data
30
 
@@ -37,15 +37,15 @@ The model was trained on [@alexwadecraig's tweets](https://twitter.com/alexwadec
37
  | Short tweets | 112 |
38
  | Tweets kept | 2704 |
39
 
40
- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1oymtdl9/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
41
 
42
  ## Training procedure
43
 
44
  The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @alexwadecraig's tweets.
45
 
46
- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/z60q7lks) for full transparency and reproducibility.
47
 
48
- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/z60q7lks/artifacts) is logged and versioned.
49
 
50
  ## How to use
51
 
 
1
  ---
2
  language: en
3
+ thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
4
  tags:
5
  - huggingtweets
6
  widget:
 
24
 
25
  ![pipeline](https://github.com/borisdayma/huggingtweets/blob/master/img/pipeline.png?raw=true)
26
 
27
+ 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).
28
 
29
  ## Training data
30
 
 
37
  | Short tweets | 112 |
38
  | Tweets kept | 2704 |
39
 
40
+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/3l824189/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
41
 
42
  ## Training procedure
43
 
44
  The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @alexwadecraig's tweets.
45
 
46
+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3kat9k6l) for full transparency and reproducibility.
47
 
48
+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3kat9k6l/artifacts) is logged and versioned.
49
 
50
  ## How to use
51
 
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a8f510866353220426917560c37e114b5e88d653b1d80955fe1a7616c9b1453e
3
  size 510408315
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:91c9e37081c59d6e54a06ab616cbb4dd9a93f83516ccc10f3aed13c92d8ffeda
3
  size 510408315
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5703de207042c7d28589476c11d216d5d4f9dbf56e75c02168c2252ab8c0236b
3
  size 2287
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e85e023f66db325ece37f6a635ce74d6e0be0cf364e3df7d1104a0c211d7f82b
3
  size 2287