PyTorch version 180k steps acc 0.6487
Browse files- config.json +25 -0
- convert.py +29 -0
- flax_model.msgpack +3 -0
- merges.txt +0 -0
- outputs/events.out.tfevents.1626172316.underestimate.4022703.3.v2 +2 -2
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- vocab.json +0 -0
config.json
ADDED
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"architectures": [
|
3 |
+
"RobertaForMaskedLM"
|
4 |
+
],
|
5 |
+
"attention_probs_dropout_prob": 0.1,
|
6 |
+
"bos_token_id": 0,
|
7 |
+
"eos_token_id": 2,
|
8 |
+
"gradient_checkpointing": false,
|
9 |
+
"hidden_act": "gelu",
|
10 |
+
"hidden_dropout_prob": 0.1,
|
11 |
+
"hidden_size": 768,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 3072,
|
14 |
+
"layer_norm_eps": 1e-05,
|
15 |
+
"max_position_embeddings": 514,
|
16 |
+
"model_type": "roberta",
|
17 |
+
"num_attention_heads": 12,
|
18 |
+
"num_hidden_layers": 12,
|
19 |
+
"pad_token_id": 1,
|
20 |
+
"position_embedding_type": "absolute",
|
21 |
+
"transformers_version": "4.9.0.dev0",
|
22 |
+
"type_vocab_size": 1,
|
23 |
+
"use_cache": true,
|
24 |
+
"vocab_size": 50265
|
25 |
+
}
|
convert.py
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
#!/usr/bin/env python
|
2 |
+
import tempfile
|
3 |
+
|
4 |
+
import jax
|
5 |
+
from jax import numpy as jnp
|
6 |
+
from transformers import AutoTokenizer, FlaxRobertaForMaskedLM, RobertaForMaskedLM
|
7 |
+
|
8 |
+
|
9 |
+
def to_f32(t):
|
10 |
+
return jax.tree_map(lambda x: x.astype(jnp.float32) if x.dtype == jnp.bfloat16 else x, t)
|
11 |
+
|
12 |
+
|
13 |
+
def main():
|
14 |
+
# Saving extra files from config.json and tokenizer.json files
|
15 |
+
tokenizer = AutoTokenizer.from_pretrained("./")
|
16 |
+
tokenizer.save_pretrained("./")
|
17 |
+
|
18 |
+
# Temporary saving bfloat16 Flax model into float32
|
19 |
+
tmp = tempfile.mkdtemp()
|
20 |
+
flax_model = FlaxRobertaForMaskedLM.from_pretrained("./")
|
21 |
+
flax_model.params = to_f32(flax_model.params)
|
22 |
+
flax_model.save_pretrained(tmp)
|
23 |
+
# Converting float32 Flax to PyTorch
|
24 |
+
model = RobertaForMaskedLM.from_pretrained(tmp, from_flax=True)
|
25 |
+
model.save_pretrained("./", save_config=False)
|
26 |
+
|
27 |
+
|
28 |
+
if __name__ == "__main__":
|
29 |
+
main()
|
flax_model.msgpack
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:393c37966461709fe51a3b3f84befb7fa7e5030025856d171308efd40dbbc7da
|
3 |
+
size 249750019
|
merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
outputs/events.out.tfevents.1626172316.underestimate.4022703.3.v2
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:514deb495913a9b51855279d52c8535930bc9c0cf00f7f56a0af14a233a45244
|
3 |
+
size 27038593
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9ec165e7aa9031ae2353284d56f1ebef021052449fdf013612050c2cbaa189f8
|
3 |
+
size 498858859
|
special_tokens_map.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": false, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "special_tokens_map_file": null, "name_or_path": "./", "tokenizer_class": "RobertaTokenizer"}
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|