
**Don't use this model for any applied task. It too small to be practically useful. It is just a part of a weird research project.**

An extremely small version of T5 with these parameters

```python
  "d_ff": 1024,
  "d_kv": 64,
  "d_model": 256,
  "num_heads": 4,
  "num_layers": 1,  # yes, just one layer
```

The model was pre-trained on `realnewslike` subset of C4 for 1 epoch with sequence length `64`. Corresponding WandB run: [click](https://wandb.ai/guitaricet/t5-lm/runs/2yvuxsfz?workspace=user-guitaricet).
{"license": "apache-2.0"}
transformers jax t5 text2text-generation license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #jax #t5 #text2text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


Don't use this model for any applied task. It too small to be practically useful. It is just a part of a weird research project.

An extremely small version of T5 with these parameters



The model was pre-trained on 'realnewslike' subset of C4 for 1 epoch with sequence length '64'. Corresponding WandB run: click.
TAGS
#transformers #jax #t5 #text2text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

passage: TAGS
#transformers #jax #t5 #text2text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
