Andreas Köpf
commited on
Commit
•
1b46b37
1
Parent(s):
1342eff
init model
Browse files- added_tokens.json +7 -0
- config.json +23 -0
- generation_config.json +7 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +26 -0
- tokenizer.model +3 -0
- tokenizer_config.json +31 -0
- trainer_state.json +2302 -0
added_tokens.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<|assistant|>": 32004,
|
| 3 |
+
"<|prefix_begin|>": 32001,
|
| 4 |
+
"<|prefix_end|>": 32000,
|
| 5 |
+
"<|prompter|>": 32003,
|
| 6 |
+
"<|system|>": 32002
|
| 7 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "openlm-research/open_llama_13b",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"LlamaForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"bos_token_id": 1,
|
| 7 |
+
"eos_token_id": 2,
|
| 8 |
+
"hidden_act": "silu",
|
| 9 |
+
"hidden_size": 5120,
|
| 10 |
+
"initializer_range": 0.02,
|
| 11 |
+
"intermediate_size": 13824,
|
| 12 |
+
"max_position_embeddings": 2048,
|
| 13 |
+
"model_type": "llama",
|
| 14 |
+
"num_attention_heads": 40,
|
| 15 |
+
"num_hidden_layers": 40,
|
| 16 |
+
"pad_token_id": 0,
|
| 17 |
+
"rms_norm_eps": 1e-06,
|
| 18 |
+
"tie_word_embeddings": false,
|
| 19 |
+
"torch_dtype": "bfloat16",
|
| 20 |
+
"transformers_version": "4.28.0.dev0",
|
| 21 |
+
"use_cache": true,
|
| 22 |
+
"vocab_size": 32016
|
| 23 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 1,
|
| 4 |
+
"eos_token_id": 2,
|
| 5 |
+
"pad_token_id": 0,
|
| 6 |
+
"transformers_version": "4.28.0.dev0"
|
| 7 |
+
}
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4124ff74a33b039f0d6006abb9487432671fc804c886b817e9707d49c2e22297
|
| 3 |
+
size 26032195693
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|prefix_end|>",
|
| 4 |
+
"<|prefix_begin|>",
|
| 5 |
+
"<|system|>",
|
| 6 |
+
"<|prompter|>",
|
| 7 |
+
"<|assistant|>"
|
| 8 |
+
],
|
| 9 |
+
"bos_token": {
|
| 10 |
+
"content": "<s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": true,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"eos_token": "</s>",
|
| 17 |
+
"pad_token": "</s>",
|
| 18 |
+
"sep_token": "<s>",
|
| 19 |
+
"unk_token": {
|
| 20 |
+
"content": "<unk>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": true,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false
|
| 25 |
+
}
|
| 26 |
+
}
|
tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ab1b681ec7fc02fed5edd3026687d7a692a918c4dd8e150ca2e3994a6229843b
|
| 3 |
+
size 534194
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"__type": "AddedToken",
|
| 4 |
+
"content": "<s>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": true,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false
|
| 9 |
+
},
|
| 10 |
+
"clean_up_tokenization_spaces": false,
|
| 11 |
+
"eos_token": {
|
| 12 |
+
"__type": "AddedToken",
|
| 13 |
+
"content": "</s>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": true,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false
|
| 18 |
+
},
|
| 19 |
+
"model_max_length": 2048,
|
| 20 |
+
"pad_token": null,
|
| 21 |
+
"special_tokens_map_file": ".cache/models--openlm-research--open_llama_13b/snapshots/b6d7fde8392250730d24cc2fcfa3b7e5f9a03ce8/special_tokens_map.json",
|
| 22 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"__type": "AddedToken",
|
| 25 |
+
"content": "<unk>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": true,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,2302 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.8107741059302853,
|
| 5 |
+
"global_step": 3000,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.01,
|
| 12 |
+
"learning_rate": 4.5e-08,
|
| 13 |
+
"loss": 1.8279,
|
| 14 |
+
"step": 10
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.01,
|
| 18 |
+
"learning_rate": 9.5e-08,
|
| 19 |
+
"loss": 1.7023,
|
| 20 |
+
"step": 20
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.02,
|
| 24 |
+
"learning_rate": 1.4500000000000001e-07,
|
| 25 |
+
"loss": 1.6779,
|
| 26 |
+
"step": 30
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.02,
|
| 30 |
+
"learning_rate": 1.95e-07,
|
| 31 |
+
"loss": 1.6776,
|
| 32 |
+
"step": 40
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.03,
|
| 36 |
+
"learning_rate": 2.4500000000000004e-07,
|
| 37 |
+
"loss": 1.6379,
|
| 38 |
+
"step": 50
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.04,
|
| 42 |
+
"learning_rate": 2.9500000000000003e-07,
|
| 43 |
+
"loss": 1.5523,
|
| 44 |
+
"step": 60
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.04,
|
| 48 |
+
"learning_rate": 3.4500000000000003e-07,
|
| 49 |
+
"loss": 1.3693,
|
| 50 |
+
"step": 70
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 0.05,
|
| 54 |
+
"learning_rate": 3.9500000000000003e-07,
|
| 55 |
+
"loss": 1.3299,
|
| 56 |
+
"step": 80
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 0.05,
|
| 60 |
+
"learning_rate": 4.4500000000000003e-07,
|
| 61 |
+
"loss": 1.2452,
|
| 62 |
+
"step": 90
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 0.06,
|
| 66 |
+
"learning_rate": 4.95e-07,
|
| 67 |
+
"loss": 1.25,
|
| 68 |
+
"step": 100
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 0.07,
|
| 72 |
+
"learning_rate": 5.450000000000001e-07,
|
| 73 |
+
"loss": 1.1376,
|
| 74 |
+
"step": 110
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 0.07,
|
| 78 |
+
"learning_rate": 5.95e-07,
|
| 79 |
+
"loss": 1.1166,
|
| 80 |
+
"step": 120
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.08,
|
| 84 |
+
"learning_rate": 6.450000000000001e-07,
|
| 85 |
+
"loss": 1.1069,
|
| 86 |
+
"step": 130
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.08,
|
| 90 |
+
"learning_rate": 6.950000000000001e-07,
|
| 91 |
+
"loss": 1.0921,
|
| 92 |
+
"step": 140
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 0.09,
|
| 96 |
+
"learning_rate": 7.450000000000001e-07,
|
| 97 |
+
"loss": 1.0674,
|
| 98 |
+
"step": 150
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 0.1,
|
| 102 |
+
"learning_rate": 7.950000000000001e-07,
|
| 103 |
+
"loss": 1.0283,
|
| 104 |
+
"step": 160
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 0.1,
|
| 108 |
+
"learning_rate": 8.450000000000002e-07,
|
| 109 |
+
"loss": 1.0252,
|
| 110 |
+
"step": 170
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 0.11,
|
| 114 |
+
"learning_rate": 8.95e-07,
|
| 115 |
+
"loss": 0.993,
|
| 116 |
+
"step": 180
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 0.11,
|
| 120 |
+
"learning_rate": 9.450000000000001e-07,
|
| 121 |
+
"loss": 0.9808,
|
| 122 |
+
"step": 190
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.12,
|
| 126 |
+
"learning_rate": 9.950000000000002e-07,
|
| 127 |
+
"loss": 0.9879,
|
| 128 |
+
"step": 200
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.13,
|
| 132 |
+
"learning_rate": 1.045e-06,
|
| 133 |
+
"loss": 0.9724,
|
| 134 |
+
"step": 210
|
| 135 |
+
},
|
| 136 |
+
{
|
| 137 |
+
"epoch": 0.13,
|
| 138 |
+
"learning_rate": 1.095e-06,
|
| 139 |
+
"loss": 0.9544,
|
| 140 |
+
"step": 220
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"epoch": 0.14,
|
| 144 |
+
"learning_rate": 1.145e-06,
|
| 145 |
+
"loss": 0.9349,
|
| 146 |
+
"step": 230
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 0.14,
|
| 150 |
+
"learning_rate": 1.195e-06,
|
| 151 |
+
"loss": 0.9247,
|
| 152 |
+
"step": 240
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"epoch": 0.15,
|
| 156 |
+
"learning_rate": 1.2450000000000002e-06,
|
| 157 |
+
"loss": 0.9251,
|
| 158 |
+
"step": 250
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 0.16,
|
| 162 |
+
"learning_rate": 1.295e-06,
|
| 163 |
+
"loss": 0.938,
|
| 164 |
+
"step": 260
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.16,
|
| 168 |
+
"learning_rate": 1.3450000000000003e-06,
|
| 169 |
+
"loss": 0.8967,
|
| 170 |
+
"step": 270
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.17,
|
| 174 |
+
"learning_rate": 1.3950000000000002e-06,
|
| 175 |
+
"loss": 0.9132,
|
| 176 |
+
"step": 280
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 0.18,
|
| 180 |
+
"learning_rate": 1.445e-06,
|
| 181 |
+
"loss": 0.9081,
|
| 182 |
+
"step": 290
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 0.18,
|
| 186 |
+
"learning_rate": 1.495e-06,
|
| 187 |
+
"loss": 0.8873,
|
| 188 |
+
"step": 300
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 0.19,
|
| 192 |
+
"learning_rate": 1.545e-06,
|
| 193 |
+
"loss": 0.8978,
|
| 194 |
+
"step": 310
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 0.19,
|
| 198 |
+
"learning_rate": 1.5950000000000002e-06,
|
| 199 |
+
"loss": 0.8628,
|
| 200 |
+
"step": 320
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 0.2,
|
| 204 |
+
"learning_rate": 1.6450000000000001e-06,
|
| 205 |
+
"loss": 0.8651,
|
| 206 |
+
"step": 330
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.21,
|
| 210 |
+
"learning_rate": 1.6950000000000003e-06,
|
| 211 |
+
"loss": 0.8499,
|
| 212 |
+
"step": 340
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.21,
|
| 216 |
+
"learning_rate": 1.745e-06,
|
| 217 |
+
"loss": 0.8514,
|
| 218 |
+
"step": 350
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 0.22,
|
| 222 |
+
"learning_rate": 1.7950000000000002e-06,
|
| 223 |
+
"loss": 0.8645,
|
| 224 |
+
"step": 360
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"epoch": 0.22,
|
| 228 |
+
"learning_rate": 1.8450000000000001e-06,
|
| 229 |
+
"loss": 0.8632,
|
| 230 |
+
"step": 370
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 0.23,
|
| 234 |
+
"learning_rate": 1.895e-06,
|
| 235 |
+
"loss": 0.8382,
|
| 236 |
+
"step": 380
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 0.24,
|
| 240 |
+
"learning_rate": 1.945e-06,
|
| 241 |
+
"loss": 0.8531,
|
| 242 |
+
"step": 390
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 0.24,
|
| 246 |
+
"learning_rate": 1.9950000000000004e-06,
|
| 247 |
+
"loss": 0.8413,
|
| 248 |
+
"step": 400
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.25,
|
| 252 |
+
"learning_rate": 2.045e-06,
|
| 253 |
+
"loss": 0.8272,
|
| 254 |
+
"step": 410
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.25,
|
| 258 |
+
"learning_rate": 2.0950000000000003e-06,
|
| 259 |
+
"loss": 0.831,
|
| 260 |
+
"step": 420
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 0.26,
|
| 264 |
+
"learning_rate": 2.1450000000000002e-06,
|
| 265 |
+
"loss": 0.8077,
|
| 266 |
+
"step": 430
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 0.27,
|
| 270 |
+
"learning_rate": 2.195e-06,
|
| 271 |
+
"loss": 0.8209,
|
| 272 |
+
"step": 440
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 0.27,
|
| 276 |
+
"learning_rate": 2.245e-06,
|
| 277 |
+
"loss": 0.8249,
|
| 278 |
+
"step": 450
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 0.28,
|
| 282 |
+
"learning_rate": 2.2950000000000005e-06,
|
| 283 |
+
"loss": 0.8037,
|
| 284 |
+
"step": 460
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 0.28,
|
| 288 |
+
"learning_rate": 2.345e-06,
|
| 289 |
+
"loss": 0.7976,
|
| 290 |
+
"step": 470
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.29,
|
| 294 |
+
"learning_rate": 2.395e-06,
|
| 295 |
+
"loss": 0.8046,
|
| 296 |
+
"step": 480
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.3,
|
| 300 |
+
"learning_rate": 2.4450000000000003e-06,
|
| 301 |
+
"loss": 0.7959,
|
| 302 |
+
"step": 490
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"epoch": 0.3,
|
| 306 |
+
"learning_rate": 2.4950000000000003e-06,
|
| 307 |
+
"loss": 0.8176,
|
| 308 |
+
"step": 500
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 0.3,
|
| 312 |
+
"eval_oasst_export_accuracy": 0.7042471551142071,
|
| 313 |
+
"eval_oasst_export_loss": 1.2229081392288208,
|
| 314 |
+
"eval_oasst_export_runtime": 68.987,
|
| 315 |
+
"eval_oasst_export_samples_per_second": 30.354,
|
| 316 |
+
"eval_oasst_export_steps_per_second": 1.276,
|
| 317 |
+
"step": 500
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.3,
|
| 321 |
+
"eval_code_alpaca_accuracy": 0.8437448762092147,
|
| 322 |
+
"eval_code_alpaca_loss": 0.5453789234161377,
|
| 323 |
+
"eval_code_alpaca_runtime": 4.9365,
|
| 324 |
+
"eval_code_alpaca_samples_per_second": 50.643,
|
| 325 |
+
"eval_code_alpaca_steps_per_second": 2.228,
|
| 326 |
+
"step": 500
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 0.3,
|
| 330 |
+
"eval_evol_v2_accuracy": 0.7902228855879827,
|
| 331 |
+
"eval_evol_v2_loss": 0.7061598300933838,
|
| 332 |
+
"eval_evol_v2_runtime": 275.1097,
|
| 333 |
+
"eval_evol_v2_samples_per_second": 25.99,
|
| 334 |
+
"eval_evol_v2_steps_per_second": 1.083,
|
| 335 |
+
"step": 500
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 0.3,
|
| 339 |
+
"eval_nlu_instruct_accuracy": 0.7843999034325105,
|
| 340 |
+
"eval_nlu_instruct_loss": 0.757986843585968,
|
| 341 |
+
"eval_nlu_instruct_runtime": 3477.7847,
|
| 342 |
+
"eval_nlu_instruct_samples_per_second": 22.435,
|
| 343 |
+
"eval_nlu_instruct_steps_per_second": 0.935,
|
| 344 |
+
"step": 500
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 0.3,
|
| 348 |
+
"eval_grade_school_math_instructions_accuracy": 0.7889496290511518,
|
| 349 |
+
"eval_grade_school_math_instructions_loss": 0.7259232997894287,
|
| 350 |
+
"eval_grade_school_math_instructions_runtime": 10.7804,
|
| 351 |
+
"eval_grade_school_math_instructions_samples_per_second": 40.815,
|
| 352 |
+
"eval_grade_school_math_instructions_steps_per_second": 1.762,
|
| 353 |
+
"step": 500
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.3,
|
| 357 |
+
"eval_poem_instructions_accuracy": 0.49874821391497626,
|
| 358 |
+
"eval_poem_instructions_loss": 2.590395450592041,
|
| 359 |
+
"eval_poem_instructions_runtime": 21.1843,
|
| 360 |
+
"eval_poem_instructions_samples_per_second": 16.38,
|
| 361 |
+
"eval_poem_instructions_steps_per_second": 0.708,
|
| 362 |
+
"step": 500
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 0.3,
|
| 366 |
+
"eval_gpt4all_accuracy": 0.7821919414875455,
|
| 367 |
+
"eval_gpt4all_loss": 0.7756699323654175,
|
| 368 |
+
"eval_gpt4all_runtime": 3565.0056,
|
| 369 |
+
"eval_gpt4all_samples_per_second": 21.813,
|
| 370 |
+
"eval_gpt4all_steps_per_second": 0.909,
|
| 371 |
+
"step": 500
|
| 372 |
+
},
|
| 373 |
+
{
|
| 374 |
+
"epoch": 0.3,
|
| 375 |
+
"eval_joke_accuracy": 0.5321712147485625,
|
| 376 |
+
"eval_joke_loss": 1.970703125,
|
| 377 |
+
"eval_joke_runtime": 5.8841,
|
| 378 |
+
"eval_joke_samples_per_second": 12.916,
|
| 379 |
+
"eval_joke_steps_per_second": 0.68,
|
| 380 |
+
"step": 500
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.3,
|
| 384 |
+
"eval_gsm8k_accuracy": 0.8398790847611236,
|
| 385 |
+
"eval_gsm8k_loss": 0.5526099801063538,
|
| 386 |
+
"eval_gsm8k_runtime": 22.7523,
|
| 387 |
+
"eval_gsm8k_samples_per_second": 57.972,
|
| 388 |
+
"eval_gsm8k_steps_per_second": 2.417,
|
| 389 |
+
"step": 500
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 0.31,
|
| 393 |
+
"learning_rate": 2.545e-06,
|
| 394 |
+
"loss": 0.8266,
|
| 395 |
+
"step": 510
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.31,
|
| 399 |
+
"learning_rate": 2.595e-06,
|
| 400 |
+
"loss": 0.8252,
|
| 401 |
+
"step": 520
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.32,
|
| 405 |
+
"learning_rate": 2.6450000000000005e-06,
|
| 406 |
+
"loss": 0.806,
|
| 407 |
+
"step": 530
|
| 408 |
+
},
|
| 409 |
+
{
|
| 410 |
+
"epoch": 0.33,
|
| 411 |
+
"learning_rate": 2.6950000000000005e-06,
|
| 412 |
+
"loss": 0.7994,
|
| 413 |
+
"step": 540
|
| 414 |
+
},
|
| 415 |
+
{
|
| 416 |
+
"epoch": 0.33,
|
| 417 |
+
"learning_rate": 2.7450000000000004e-06,
|
| 418 |
+
"loss": 0.8062,
|
| 419 |
+
"step": 550
|
| 420 |
+
},
|
| 421 |
+
{
|
| 422 |
+
"epoch": 0.34,
|
| 423 |
+
"learning_rate": 2.7950000000000003e-06,
|
| 424 |
+
"loss": 0.8086,
|
| 425 |
+
"step": 560
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 0.34,
|
| 429 |
+
"learning_rate": 2.845e-06,
|
| 430 |
+
"loss": 0.8055,
|
| 431 |
+
"step": 570
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 0.35,
|
| 435 |
+
"learning_rate": 2.8950000000000002e-06,
|
| 436 |
+
"loss": 0.7825,
|
| 437 |
+
"step": 580
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.36,
|
| 441 |
+
"learning_rate": 2.945e-06,
|
| 442 |
+
"loss": 0.796,
|
| 443 |
+
"step": 590
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.36,
|
| 447 |
+
"learning_rate": 2.995e-06,
|
| 448 |
+
"loss": 0.7974,
|
| 449 |
+
"step": 600
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 0.37,
|
| 453 |
+
"learning_rate": 3.045e-06,
|
| 454 |
+
"loss": 0.8071,
|
| 455 |
+
"step": 610
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"epoch": 0.37,
|
| 459 |
+
"learning_rate": 3.0950000000000004e-06,
|
| 460 |
+
"loss": 0.7967,
|
| 461 |
+
"step": 620
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 0.38,
|
| 465 |
+
"learning_rate": 3.1450000000000004e-06,
|
| 466 |
+
"loss": 0.778,
|
| 467 |
+
"step": 630
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"epoch": 0.39,
|
| 471 |
+
"learning_rate": 3.1950000000000003e-06,
|
| 472 |
+
"loss": 0.7869,
|
| 473 |
+
"step": 640
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 0.39,
|
| 477 |
+
"learning_rate": 3.2450000000000003e-06,
|
| 478 |
+
"loss": 0.7828,
|
| 479 |
+
"step": 650
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.4,
|
| 483 |
+
"learning_rate": 3.2950000000000002e-06,
|
| 484 |
+
"loss": 0.7927,
|
| 485 |
+
"step": 660
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.4,
|
| 489 |
+
"learning_rate": 3.3450000000000006e-06,
|
| 490 |
+
"loss": 0.7709,
|
| 491 |
+
"step": 670
|
| 492 |
+
},
|
| 493 |
+
{
|
| 494 |
+
"epoch": 0.41,
|
| 495 |
+
"learning_rate": 3.3950000000000005e-06,
|
| 496 |
+
"loss": 0.7624,
|
| 497 |
+
"step": 680
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"epoch": 0.42,
|
| 501 |
+
"learning_rate": 3.445e-06,
|
| 502 |
+
"loss": 0.7739,
|
| 503 |
+
"step": 690
|
| 504 |
+
},
|
| 505 |
+
{
|
| 506 |
+
"epoch": 0.42,
|
| 507 |
+
"learning_rate": 3.495e-06,
|
| 508 |
+
"loss": 0.77,
|
| 509 |
+
"step": 700
|
| 510 |
+
},
|
| 511 |
+
{
|
| 512 |
+
"epoch": 0.43,
|
| 513 |
+
"learning_rate": 3.545e-06,
|
| 514 |
+
"loss": 0.7814,
|
| 515 |
+
"step": 710
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 0.43,
|
| 519 |
+
"learning_rate": 3.5950000000000003e-06,
|
| 520 |
+
"loss": 0.7822,
|
| 521 |
+
"step": 720
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.44,
|
| 525 |
+
"learning_rate": 3.6450000000000003e-06,
|
| 526 |
+
"loss": 0.7816,
|
| 527 |
+
"step": 730
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.45,
|
| 531 |
+
"learning_rate": 3.695e-06,
|
| 532 |
+
"loss": 0.7935,
|
| 533 |
+
"step": 740
|
| 534 |
+
},
|
| 535 |
+
{
|
| 536 |
+
"epoch": 0.45,
|
| 537 |
+
"learning_rate": 3.745e-06,
|
| 538 |
+
"loss": 0.7738,
|
| 539 |
+
"step": 750
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 0.46,
|
| 543 |
+
"learning_rate": 3.7950000000000005e-06,
|
| 544 |
+
"loss": 0.7585,
|
| 545 |
+
"step": 760
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 0.46,
|
| 549 |
+
"learning_rate": 3.8450000000000005e-06,
|
| 550 |
+
"loss": 0.7776,
|
| 551 |
+
"step": 770
|
| 552 |
+
},
|
| 553 |
+
{
|
| 554 |
+
"epoch": 0.47,
|
| 555 |
+
"learning_rate": 3.895000000000001e-06,
|
| 556 |
+
"loss": 0.7681,
|
| 557 |
+
"step": 780
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 0.48,
|
| 561 |
+
"learning_rate": 3.945e-06,
|
| 562 |
+
"loss": 0.7836,
|
| 563 |
+
"step": 790
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.48,
|
| 567 |
+
"learning_rate": 3.995000000000001e-06,
|
| 568 |
+
"loss": 0.7687,
|
| 569 |
+
"step": 800
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.49,
|
| 573 |
+
"learning_rate": 4.045e-06,
|
| 574 |
+
"loss": 0.7852,
|
| 575 |
+
"step": 810
|
| 576 |
+
},
|
| 577 |
+
{
|
| 578 |
+
"epoch": 0.49,
|
| 579 |
+
"learning_rate": 4.095e-06,
|
| 580 |
+
"loss": 0.753,
|
| 581 |
+
"step": 820
|
| 582 |
+
},
|
| 583 |
+
{
|
| 584 |
+
"epoch": 0.5,
|
| 585 |
+
"learning_rate": 4.145e-06,
|
| 586 |
+
"loss": 0.7676,
|
| 587 |
+
"step": 830
|
| 588 |
+
},
|
| 589 |
+
{
|
| 590 |
+
"epoch": 0.51,
|
| 591 |
+
"learning_rate": 4.1950000000000005e-06,
|
| 592 |
+
"loss": 0.7626,
|
| 593 |
+
"step": 840
|
| 594 |
+
},
|
| 595 |
+
{
|
| 596 |
+
"epoch": 0.51,
|
| 597 |
+
"learning_rate": 4.245e-06,
|
| 598 |
+
"loss": 0.7578,
|
| 599 |
+
"step": 850
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 0.52,
|
| 603 |
+
"learning_rate": 4.295e-06,
|
| 604 |
+
"loss": 0.7743,
|
| 605 |
+
"step": 860
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.53,
|
| 609 |
+
"learning_rate": 4.345000000000001e-06,
|
| 610 |
+
"loss": 0.7662,
|
| 611 |
+
"step": 870
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.53,
|
| 615 |
+
"learning_rate": 4.395e-06,
|
| 616 |
+
"loss": 0.7709,
|
| 617 |
+
"step": 880
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"epoch": 0.54,
|
| 621 |
+
"learning_rate": 4.445000000000001e-06,
|
| 622 |
+
"loss": 0.7638,
|
| 623 |
+
"step": 890
|
| 624 |
+
},
|
| 625 |
+
{
|
| 626 |
+
"epoch": 0.54,
|
| 627 |
+
"learning_rate": 4.495e-06,
|
| 628 |
+
"loss": 0.752,
|
| 629 |
+
"step": 900
|
| 630 |
+
},
|
| 631 |
+
{
|
| 632 |
+
"epoch": 0.55,
|
| 633 |
+
"learning_rate": 4.5450000000000005e-06,
|
| 634 |
+
"loss": 0.7744,
|
| 635 |
+
"step": 910
|
| 636 |
+
},
|
| 637 |
+
{
|
| 638 |
+
"epoch": 0.56,
|
| 639 |
+
"learning_rate": 4.595000000000001e-06,
|
| 640 |
+
"loss": 0.7607,
|
| 641 |
+
"step": 920
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 0.56,
|
| 645 |
+
"learning_rate": 4.645e-06,
|
| 646 |
+
"loss": 0.765,
|
| 647 |
+
"step": 930
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.57,
|
| 651 |
+
"learning_rate": 4.695e-06,
|
| 652 |
+
"loss": 0.7534,
|
| 653 |
+
"step": 940
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 0.57,
|
| 657 |
+
"learning_rate": 4.745e-06,
|
| 658 |
+
"loss": 0.7569,
|
| 659 |
+
"step": 950
|
| 660 |
+
},
|
| 661 |
+
{
|
| 662 |
+
"epoch": 0.58,
|
| 663 |
+
"learning_rate": 4.795e-06,
|
| 664 |
+
"loss": 0.7522,
|
| 665 |
+
"step": 960
|
| 666 |
+
},
|
| 667 |
+
{
|
| 668 |
+
"epoch": 0.59,
|
| 669 |
+
"learning_rate": 4.845e-06,
|
| 670 |
+
"loss": 0.7876,
|
| 671 |
+
"step": 970
|
| 672 |
+
},
|
| 673 |
+
{
|
| 674 |
+
"epoch": 0.59,
|
| 675 |
+
"learning_rate": 4.8950000000000006e-06,
|
| 676 |
+
"loss": 0.7586,
|
| 677 |
+
"step": 980
|
| 678 |
+
},
|
| 679 |
+
{
|
| 680 |
+
"epoch": 0.6,
|
| 681 |
+
"learning_rate": 4.945e-06,
|
| 682 |
+
"loss": 0.7658,
|
| 683 |
+
"step": 990
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 0.6,
|
| 687 |
+
"learning_rate": 4.9950000000000005e-06,
|
| 688 |
+
"loss": 0.7562,
|
| 689 |
+
"step": 1000
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.6,
|
| 693 |
+
"eval_oasst_export_accuracy": 0.7149679693032294,
|
| 694 |
+
"eval_oasst_export_loss": 1.1956202983856201,
|
| 695 |
+
"eval_oasst_export_runtime": 67.0497,
|
| 696 |
+
"eval_oasst_export_samples_per_second": 31.231,
|
| 697 |
+
"eval_oasst_export_steps_per_second": 1.312,
|
| 698 |
+
"step": 1000
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 0.6,
|
| 702 |
+
"eval_code_alpaca_accuracy": 0.8463136033229491,
|
| 703 |
+
"eval_code_alpaca_loss": 0.5398945212364197,
|
| 704 |
+
"eval_code_alpaca_runtime": 6.22,
|
| 705 |
+
"eval_code_alpaca_samples_per_second": 40.193,
|
| 706 |
+
"eval_code_alpaca_steps_per_second": 1.769,
|
| 707 |
+
"step": 1000
|
| 708 |
+
},
|
| 709 |
+
{
|
| 710 |
+
"epoch": 0.6,
|
| 711 |
+
"eval_evol_v2_accuracy": 0.7982416515833893,
|
| 712 |
+
"eval_evol_v2_loss": 0.6806697845458984,
|
| 713 |
+
"eval_evol_v2_runtime": 274.9092,
|
| 714 |
+
"eval_evol_v2_samples_per_second": 26.009,
|
| 715 |
+
"eval_evol_v2_steps_per_second": 1.084,
|
| 716 |
+
"step": 1000
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 0.6,
|
| 720 |
+
"eval_nlu_instruct_accuracy": 0.8084633890177162,
|
| 721 |
+
"eval_nlu_instruct_loss": 0.6906304955482483,
|
| 722 |
+
"eval_nlu_instruct_runtime": 3476.832,
|
| 723 |
+
"eval_nlu_instruct_samples_per_second": 22.441,
|
| 724 |
+
"eval_nlu_instruct_steps_per_second": 0.935,
|
| 725 |
+
"step": 1000
|
| 726 |
+
},
|
| 727 |
+
{
|
| 728 |
+
"epoch": 0.6,
|
| 729 |
+
"eval_grade_school_math_instructions_accuracy": 0.8071065989847716,
|
| 730 |
+
"eval_grade_school_math_instructions_loss": 0.6586337089538574,
|
| 731 |
+
"eval_grade_school_math_instructions_runtime": 9.647,
|
| 732 |
+
"eval_grade_school_math_instructions_samples_per_second": 45.61,
|
| 733 |
+
"eval_grade_school_math_instructions_steps_per_second": 1.97,
|
| 734 |
+
"step": 1000
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 0.6,
|
| 738 |
+
"eval_poem_instructions_accuracy": 0.506542535644907,
|
| 739 |
+
"eval_poem_instructions_loss": 2.5567362308502197,
|
| 740 |
+
"eval_poem_instructions_runtime": 21.1754,
|
| 741 |
+
"eval_poem_instructions_samples_per_second": 16.387,
|
| 742 |
+
"eval_poem_instructions_steps_per_second": 0.708,
|
| 743 |
+
"step": 1000
|
| 744 |
+
},
|
| 745 |
+
{
|
| 746 |
+
"epoch": 0.6,
|
| 747 |
+
"eval_gpt4all_accuracy": 0.7917010462623065,
|
| 748 |
+
"eval_gpt4all_loss": 0.7404432892799377,
|
| 749 |
+
"eval_gpt4all_runtime": 3565.553,
|
| 750 |
+
"eval_gpt4all_samples_per_second": 21.809,
|
| 751 |
+
"eval_gpt4all_steps_per_second": 0.909,
|
| 752 |
+
"step": 1000
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 0.6,
|
| 756 |
+
"eval_joke_accuracy": 0.5601898329834809,
|
| 757 |
+
"eval_joke_loss": 1.8026316165924072,
|
| 758 |
+
"eval_joke_runtime": 4.4938,
|
| 759 |
+
"eval_joke_samples_per_second": 16.912,
|
| 760 |
+
"eval_joke_steps_per_second": 0.89,
|
| 761 |
+
"step": 1000
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 0.6,
|
| 765 |
+
"eval_gsm8k_accuracy": 0.8582343392395189,
|
| 766 |
+
"eval_gsm8k_loss": 0.4936060607433319,
|
| 767 |
+
"eval_gsm8k_runtime": 22.7991,
|
| 768 |
+
"eval_gsm8k_samples_per_second": 57.853,
|
| 769 |
+
"eval_gsm8k_steps_per_second": 2.412,
|
| 770 |
+
"step": 1000
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"epoch": 0.61,
|
| 774 |
+
"learning_rate": 5.045e-06,
|
| 775 |
+
"loss": 0.7579,
|
| 776 |
+
"step": 1010
|
| 777 |
+
},
|
| 778 |
+
{
|
| 779 |
+
"epoch": 0.62,
|
| 780 |
+
"learning_rate": 5.095e-06,
|
| 781 |
+
"loss": 0.7684,
|
| 782 |
+
"step": 1020
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 0.62,
|
| 786 |
+
"learning_rate": 5.145e-06,
|
| 787 |
+
"loss": 0.7464,
|
| 788 |
+
"step": 1030
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 0.63,
|
| 792 |
+
"learning_rate": 5.195e-06,
|
| 793 |
+
"loss": 0.7691,
|
| 794 |
+
"step": 1040
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 0.63,
|
| 798 |
+
"learning_rate": 5.245e-06,
|
| 799 |
+
"loss": 0.7385,
|
| 800 |
+
"step": 1050
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.64,
|
| 804 |
+
"learning_rate": 5.295e-06,
|
| 805 |
+
"loss": 0.7704,
|
| 806 |
+
"step": 1060
|
| 807 |
+
},
|
| 808 |
+
{
|
| 809 |
+
"epoch": 0.65,
|
| 810 |
+
"learning_rate": 5.3450000000000005e-06,
|
| 811 |
+
"loss": 0.7735,
|
| 812 |
+
"step": 1070
|
| 813 |
+
},
|
| 814 |
+
{
|
| 815 |
+
"epoch": 0.65,
|
| 816 |
+
"learning_rate": 5.395e-06,
|
| 817 |
+
"loss": 0.7448,
|
| 818 |
+
"step": 1080
|
| 819 |
+
},
|
| 820 |
+
{
|
| 821 |
+
"epoch": 0.66,
|
| 822 |
+
"learning_rate": 5.445e-06,
|
| 823 |
+
"loss": 0.7358,
|
| 824 |
+
"step": 1090
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 0.66,
|
| 828 |
+
"learning_rate": 5.495000000000001e-06,
|
| 829 |
+
"loss": 0.762,
|
| 830 |
+
"step": 1100
|
| 831 |
+
},
|
| 832 |
+
{
|
| 833 |
+
"epoch": 0.67,
|
| 834 |
+
"learning_rate": 5.545e-06,
|
| 835 |
+
"loss": 0.7636,
|
| 836 |
+
"step": 1110
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 0.68,
|
| 840 |
+
"learning_rate": 5.595000000000001e-06,
|
| 841 |
+
"loss": 0.7662,
|
| 842 |
+
"step": 1120
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.68,
|
| 846 |
+
"learning_rate": 5.645e-06,
|
| 847 |
+
"loss": 0.7565,
|
| 848 |
+
"step": 1130
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 0.69,
|
| 852 |
+
"learning_rate": 5.6950000000000005e-06,
|
| 853 |
+
"loss": 0.7564,
|
| 854 |
+
"step": 1140
|
| 855 |
+
},
|
| 856 |
+
{
|
| 857 |
+
"epoch": 0.69,
|
| 858 |
+
"learning_rate": 5.745000000000001e-06,
|
| 859 |
+
"loss": 0.7576,
|
| 860 |
+
"step": 1150
|
| 861 |
+
},
|
| 862 |
+
{
|
| 863 |
+
"epoch": 0.7,
|
| 864 |
+
"learning_rate": 5.795e-06,
|
| 865 |
+
"loss": 0.7588,
|
| 866 |
+
"step": 1160
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 0.71,
|
| 870 |
+
"learning_rate": 5.845000000000001e-06,
|
| 871 |
+
"loss": 0.7503,
|
| 872 |
+
"step": 1170
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 0.71,
|
| 876 |
+
"learning_rate": 5.895e-06,
|
| 877 |
+
"loss": 0.7579,
|
| 878 |
+
"step": 1180
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 0.72,
|
| 882 |
+
"learning_rate": 5.945000000000001e-06,
|
| 883 |
+
"loss": 0.772,
|
| 884 |
+
"step": 1190
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 0.72,
|
| 888 |
+
"learning_rate": 5.995000000000001e-06,
|
| 889 |
+
"loss": 0.7507,
|
| 890 |
+
"step": 1200
|
| 891 |
+
},
|
| 892 |
+
{
|
| 893 |
+
"epoch": 0.73,
|
| 894 |
+
"learning_rate": 6.0450000000000006e-06,
|
| 895 |
+
"loss": 0.7448,
|
| 896 |
+
"step": 1210
|
| 897 |
+
},
|
| 898 |
+
{
|
| 899 |
+
"epoch": 0.74,
|
| 900 |
+
"learning_rate": 6.095000000000001e-06,
|
| 901 |
+
"loss": 0.7479,
|
| 902 |
+
"step": 1220
|
| 903 |
+
},
|
| 904 |
+
{
|
| 905 |
+
"epoch": 0.74,
|
| 906 |
+
"learning_rate": 6.145000000000001e-06,
|
| 907 |
+
"loss": 0.7502,
|
| 908 |
+
"step": 1230
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"epoch": 0.75,
|
| 912 |
+
"learning_rate": 6.195000000000001e-06,
|
| 913 |
+
"loss": 0.7449,
|
| 914 |
+
"step": 1240
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"epoch": 0.75,
|
| 918 |
+
"learning_rate": 6.245000000000001e-06,
|
| 919 |
+
"loss": 0.7491,
|
| 920 |
+
"step": 1250
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 0.76,
|
| 924 |
+
"learning_rate": 6.295e-06,
|
| 925 |
+
"loss": 0.7561,
|
| 926 |
+
"step": 1260
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 0.77,
|
| 930 |
+
"learning_rate": 6.345e-06,
|
| 931 |
+
"loss": 0.7581,
|
| 932 |
+
"step": 1270
|
| 933 |
+
},
|
| 934 |
+
{
|
| 935 |
+
"epoch": 0.77,
|
| 936 |
+
"learning_rate": 6.395e-06,
|
| 937 |
+
"loss": 0.7544,
|
| 938 |
+
"step": 1280
|
| 939 |
+
},
|
| 940 |
+
{
|
| 941 |
+
"epoch": 0.78,
|
| 942 |
+
"learning_rate": 6.445e-06,
|
| 943 |
+
"loss": 0.7429,
|
| 944 |
+
"step": 1290
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 0.78,
|
| 948 |
+
"learning_rate": 6.4950000000000005e-06,
|
| 949 |
+
"loss": 0.7678,
|
| 950 |
+
"step": 1300
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 0.79,
|
| 954 |
+
"learning_rate": 6.545e-06,
|
| 955 |
+
"loss": 0.7655,
|
| 956 |
+
"step": 1310
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 0.8,
|
| 960 |
+
"learning_rate": 6.595e-06,
|
| 961 |
+
"loss": 0.7695,
|
| 962 |
+
"step": 1320
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 0.8,
|
| 966 |
+
"learning_rate": 6.645000000000001e-06,
|
| 967 |
+
"loss": 0.7645,
|
| 968 |
+
"step": 1330
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 0.81,
|
| 972 |
+
"learning_rate": 6.695e-06,
|
| 973 |
+
"loss": 0.7628,
|
| 974 |
+
"step": 1340
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 0.81,
|
| 978 |
+
"learning_rate": 6.745000000000001e-06,
|
| 979 |
+
"loss": 0.7597,
|
| 980 |
+
"step": 1350
|
| 981 |
+
},
|
| 982 |
+
{
|
| 983 |
+
"epoch": 0.82,
|
| 984 |
+
"learning_rate": 6.795e-06,
|
| 985 |
+
"loss": 0.7687,
|
| 986 |
+
"step": 1360
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"epoch": 0.83,
|
| 990 |
+
"learning_rate": 6.8450000000000005e-06,
|
| 991 |
+
"loss": 0.7488,
|
| 992 |
+
"step": 1370
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 0.83,
|
| 996 |
+
"learning_rate": 6.895000000000001e-06,
|
| 997 |
+
"loss": 0.7454,
|
| 998 |
+
"step": 1380
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 0.84,
|
| 1002 |
+
"learning_rate": 6.945e-06,
|
| 1003 |
+
"loss": 0.7459,
|
| 1004 |
+
"step": 1390
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 0.85,
|
| 1008 |
+
"learning_rate": 6.995000000000001e-06,
|
| 1009 |
+
"loss": 0.7595,
|
| 1010 |
+
"step": 1400
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 0.85,
|
| 1014 |
+
"learning_rate": 7.045e-06,
|
| 1015 |
+
"loss": 0.762,
|
| 1016 |
+
"step": 1410
|
| 1017 |
+
},
|
| 1018 |
+
{
|
| 1019 |
+
"epoch": 0.86,
|
| 1020 |
+
"learning_rate": 7.095000000000001e-06,
|
| 1021 |
+
"loss": 0.7618,
|
| 1022 |
+
"step": 1420
|
| 1023 |
+
},
|
| 1024 |
+
{
|
| 1025 |
+
"epoch": 0.86,
|
| 1026 |
+
"learning_rate": 7.145000000000001e-06,
|
| 1027 |
+
"loss": 0.737,
|
| 1028 |
+
"step": 1430
|
| 1029 |
+
},
|
| 1030 |
+
{
|
| 1031 |
+
"epoch": 0.87,
|
| 1032 |
+
"learning_rate": 7.1950000000000006e-06,
|
| 1033 |
+
"loss": 0.7492,
|
| 1034 |
+
"step": 1440
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 0.88,
|
| 1038 |
+
"learning_rate": 7.245000000000001e-06,
|
| 1039 |
+
"loss": 0.7617,
|
| 1040 |
+
"step": 1450
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 0.88,
|
| 1044 |
+
"learning_rate": 7.295000000000001e-06,
|
| 1045 |
+
"loss": 0.7564,
|
| 1046 |
+
"step": 1460
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 0.89,
|
| 1050 |
+
"learning_rate": 7.345000000000001e-06,
|
| 1051 |
+
"loss": 0.7612,
|
| 1052 |
+
"step": 1470
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 0.89,
|
| 1056 |
+
"learning_rate": 7.395000000000001e-06,
|
| 1057 |
+
"loss": 0.7506,
|
| 1058 |
+
"step": 1480
|
| 1059 |
+
},
|
| 1060 |
+
{
|
| 1061 |
+
"epoch": 0.9,
|
| 1062 |
+
"learning_rate": 7.445000000000001e-06,
|
| 1063 |
+
"loss": 0.7555,
|
| 1064 |
+
"step": 1490
|
| 1065 |
+
},
|
| 1066 |
+
{
|
| 1067 |
+
"epoch": 0.91,
|
| 1068 |
+
"learning_rate": 7.495000000000001e-06,
|
| 1069 |
+
"loss": 0.7528,
|
| 1070 |
+
"step": 1500
|
| 1071 |
+
},
|
| 1072 |
+
{
|
| 1073 |
+
"epoch": 0.91,
|
| 1074 |
+
"eval_oasst_export_accuracy": 0.7145207936670809,
|
| 1075 |
+
"eval_oasst_export_loss": 1.20199453830719,
|
| 1076 |
+
"eval_oasst_export_runtime": 68.1714,
|
| 1077 |
+
"eval_oasst_export_samples_per_second": 30.717,
|
| 1078 |
+
"eval_oasst_export_steps_per_second": 1.291,
|
| 1079 |
+
"step": 1500
|
| 1080 |
+
},
|
| 1081 |
+
{
|
| 1082 |
+
"epoch": 0.91,
|
| 1083 |
+
"eval_code_alpaca_accuracy": 0.8416680330108761,
|
| 1084 |
+
"eval_code_alpaca_loss": 0.5439140796661377,
|
| 1085 |
+
"eval_code_alpaca_runtime": 5.1754,
|
| 1086 |
+
"eval_code_alpaca_samples_per_second": 48.306,
|
| 1087 |
+
"eval_code_alpaca_steps_per_second": 2.125,
|
| 1088 |
+
"step": 1500
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 0.91,
|
| 1092 |
+
"eval_evol_v2_accuracy": 0.7973383052991362,
|
| 1093 |
+
"eval_evol_v2_loss": 0.6886976957321167,
|
| 1094 |
+
"eval_evol_v2_runtime": 275.0257,
|
| 1095 |
+
"eval_evol_v2_samples_per_second": 25.998,
|
| 1096 |
+
"eval_evol_v2_steps_per_second": 1.084,
|
| 1097 |
+
"step": 1500
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"epoch": 0.91,
|
| 1101 |
+
"eval_nlu_instruct_accuracy": 0.8144291416562309,
|
| 1102 |
+
"eval_nlu_instruct_loss": 0.6783603429794312,
|
| 1103 |
+
"eval_nlu_instruct_runtime": 3480.2092,
|
| 1104 |
+
"eval_nlu_instruct_samples_per_second": 22.419,
|
| 1105 |
+
"eval_nlu_instruct_steps_per_second": 0.934,
|
| 1106 |
+
"step": 1500
|
| 1107 |
+
},
|
| 1108 |
+
{
|
| 1109 |
+
"epoch": 0.91,
|
| 1110 |
+
"eval_grade_school_math_instructions_accuracy": 0.8132565404139008,
|
| 1111 |
+
"eval_grade_school_math_instructions_loss": 0.6372869610786438,
|
| 1112 |
+
"eval_grade_school_math_instructions_runtime": 8.0235,
|
| 1113 |
+
"eval_grade_school_math_instructions_samples_per_second": 54.839,
|
| 1114 |
+
"eval_grade_school_math_instructions_steps_per_second": 2.368,
|
| 1115 |
+
"step": 1500
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 0.91,
|
| 1119 |
+
"eval_poem_instructions_accuracy": 0.5055101467336193,
|
| 1120 |
+
"eval_poem_instructions_loss": 2.5727665424346924,
|
| 1121 |
+
"eval_poem_instructions_runtime": 21.4941,
|
| 1122 |
+
"eval_poem_instructions_samples_per_second": 16.144,
|
| 1123 |
+
"eval_poem_instructions_steps_per_second": 0.698,
|
| 1124 |
+
"step": 1500
|
| 1125 |
+
},
|
| 1126 |
+
{
|
| 1127 |
+
"epoch": 0.91,
|
| 1128 |
+
"eval_gpt4all_accuracy": 0.791444802483569,
|
| 1129 |
+
"eval_gpt4all_loss": 0.7454394698143005,
|
| 1130 |
+
"eval_gpt4all_runtime": 3568.858,
|
| 1131 |
+
"eval_gpt4all_samples_per_second": 21.789,
|
| 1132 |
+
"eval_gpt4all_steps_per_second": 0.908,
|
| 1133 |
+
"step": 1500
|
| 1134 |
+
},
|
| 1135 |
+
{
|
| 1136 |
+
"epoch": 0.91,
|
| 1137 |
+
"eval_joke_accuracy": 0.5673085698640139,
|
| 1138 |
+
"eval_joke_loss": 1.7545230388641357,
|
| 1139 |
+
"eval_joke_runtime": 2.3532,
|
| 1140 |
+
"eval_joke_samples_per_second": 32.296,
|
| 1141 |
+
"eval_joke_steps_per_second": 1.7,
|
| 1142 |
+
"step": 1500
|
| 1143 |
+
},
|
| 1144 |
+
{
|
| 1145 |
+
"epoch": 0.91,
|
| 1146 |
+
"eval_gsm8k_accuracy": 0.8628002087910197,
|
| 1147 |
+
"eval_gsm8k_loss": 0.47572216391563416,
|
| 1148 |
+
"eval_gsm8k_runtime": 22.6914,
|
| 1149 |
+
"eval_gsm8k_samples_per_second": 58.128,
|
| 1150 |
+
"eval_gsm8k_steps_per_second": 2.424,
|
| 1151 |
+
"step": 1500
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 0.91,
|
| 1155 |
+
"learning_rate": 7.545e-06,
|
| 1156 |
+
"loss": 0.7567,
|
| 1157 |
+
"step": 1510
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 0.92,
|
| 1161 |
+
"learning_rate": 7.595e-06,
|
| 1162 |
+
"loss": 0.7925,
|
| 1163 |
+
"step": 1520
|
| 1164 |
+
},
|
| 1165 |
+
{
|
| 1166 |
+
"epoch": 0.92,
|
| 1167 |
+
"learning_rate": 7.645e-06,
|
| 1168 |
+
"loss": 0.7563,
|
| 1169 |
+
"step": 1530
|
| 1170 |
+
},
|
| 1171 |
+
{
|
| 1172 |
+
"epoch": 0.93,
|
| 1173 |
+
"learning_rate": 7.695e-06,
|
| 1174 |
+
"loss": 0.7566,
|
| 1175 |
+
"step": 1540
|
| 1176 |
+
},
|
| 1177 |
+
{
|
| 1178 |
+
"epoch": 0.94,
|
| 1179 |
+
"learning_rate": 7.745e-06,
|
| 1180 |
+
"loss": 0.7523,
|
| 1181 |
+
"step": 1550
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"epoch": 0.94,
|
| 1185 |
+
"learning_rate": 7.795e-06,
|
| 1186 |
+
"loss": 0.749,
|
| 1187 |
+
"step": 1560
|
| 1188 |
+
},
|
| 1189 |
+
{
|
| 1190 |
+
"epoch": 0.95,
|
| 1191 |
+
"learning_rate": 7.845e-06,
|
| 1192 |
+
"loss": 0.7668,
|
| 1193 |
+
"step": 1570
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 0.95,
|
| 1197 |
+
"learning_rate": 7.895e-06,
|
| 1198 |
+
"loss": 0.7706,
|
| 1199 |
+
"step": 1580
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 0.96,
|
| 1203 |
+
"learning_rate": 7.945000000000001e-06,
|
| 1204 |
+
"loss": 0.7329,
|
| 1205 |
+
"step": 1590
|
| 1206 |
+
},
|
| 1207 |
+
{
|
| 1208 |
+
"epoch": 0.97,
|
| 1209 |
+
"learning_rate": 7.995e-06,
|
| 1210 |
+
"loss": 0.7679,
|
| 1211 |
+
"step": 1600
|
| 1212 |
+
},
|
| 1213 |
+
{
|
| 1214 |
+
"epoch": 0.97,
|
| 1215 |
+
"learning_rate": 8.045e-06,
|
| 1216 |
+
"loss": 0.752,
|
| 1217 |
+
"step": 1610
|
| 1218 |
+
},
|
| 1219 |
+
{
|
| 1220 |
+
"epoch": 0.98,
|
| 1221 |
+
"learning_rate": 8.095000000000001e-06,
|
| 1222 |
+
"loss": 0.7768,
|
| 1223 |
+
"step": 1620
|
| 1224 |
+
},
|
| 1225 |
+
{
|
| 1226 |
+
"epoch": 0.98,
|
| 1227 |
+
"learning_rate": 8.145e-06,
|
| 1228 |
+
"loss": 0.7673,
|
| 1229 |
+
"step": 1630
|
| 1230 |
+
},
|
| 1231 |
+
{
|
| 1232 |
+
"epoch": 0.99,
|
| 1233 |
+
"learning_rate": 8.195e-06,
|
| 1234 |
+
"loss": 0.7474,
|
| 1235 |
+
"step": 1640
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 1.0,
|
| 1239 |
+
"learning_rate": 8.245000000000002e-06,
|
| 1240 |
+
"loss": 0.7743,
|
| 1241 |
+
"step": 1650
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 1.0,
|
| 1245 |
+
"learning_rate": 8.295000000000001e-06,
|
| 1246 |
+
"loss": 0.7491,
|
| 1247 |
+
"step": 1660
|
| 1248 |
+
},
|
| 1249 |
+
{
|
| 1250 |
+
"epoch": 1.01,
|
| 1251 |
+
"learning_rate": 8.345e-06,
|
| 1252 |
+
"loss": 0.7182,
|
| 1253 |
+
"step": 1670
|
| 1254 |
+
},
|
| 1255 |
+
{
|
| 1256 |
+
"epoch": 1.01,
|
| 1257 |
+
"learning_rate": 8.395e-06,
|
| 1258 |
+
"loss": 0.7146,
|
| 1259 |
+
"step": 1680
|
| 1260 |
+
},
|
| 1261 |
+
{
|
| 1262 |
+
"epoch": 1.02,
|
| 1263 |
+
"learning_rate": 8.445000000000001e-06,
|
| 1264 |
+
"loss": 0.702,
|
| 1265 |
+
"step": 1690
|
| 1266 |
+
},
|
| 1267 |
+
{
|
| 1268 |
+
"epoch": 1.03,
|
| 1269 |
+
"learning_rate": 8.495e-06,
|
| 1270 |
+
"loss": 0.716,
|
| 1271 |
+
"step": 1700
|
| 1272 |
+
},
|
| 1273 |
+
{
|
| 1274 |
+
"epoch": 1.03,
|
| 1275 |
+
"learning_rate": 8.545e-06,
|
| 1276 |
+
"loss": 0.6966,
|
| 1277 |
+
"step": 1710
|
| 1278 |
+
},
|
| 1279 |
+
{
|
| 1280 |
+
"epoch": 1.04,
|
| 1281 |
+
"learning_rate": 8.595000000000002e-06,
|
| 1282 |
+
"loss": 0.7042,
|
| 1283 |
+
"step": 1720
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 1.04,
|
| 1287 |
+
"learning_rate": 8.645000000000001e-06,
|
| 1288 |
+
"loss": 0.7243,
|
| 1289 |
+
"step": 1730
|
| 1290 |
+
},
|
| 1291 |
+
{
|
| 1292 |
+
"epoch": 1.05,
|
| 1293 |
+
"learning_rate": 8.695e-06,
|
| 1294 |
+
"loss": 0.7169,
|
| 1295 |
+
"step": 1740
|
| 1296 |
+
},
|
| 1297 |
+
{
|
| 1298 |
+
"epoch": 1.06,
|
| 1299 |
+
"learning_rate": 8.745000000000002e-06,
|
| 1300 |
+
"loss": 0.7089,
|
| 1301 |
+
"step": 1750
|
| 1302 |
+
},
|
| 1303 |
+
{
|
| 1304 |
+
"epoch": 1.06,
|
| 1305 |
+
"learning_rate": 8.795e-06,
|
| 1306 |
+
"loss": 0.706,
|
| 1307 |
+
"step": 1760
|
| 1308 |
+
},
|
| 1309 |
+
{
|
| 1310 |
+
"epoch": 1.07,
|
| 1311 |
+
"learning_rate": 8.845000000000001e-06,
|
| 1312 |
+
"loss": 0.7201,
|
| 1313 |
+
"step": 1770
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"epoch": 1.07,
|
| 1317 |
+
"learning_rate": 8.895e-06,
|
| 1318 |
+
"loss": 0.7038,
|
| 1319 |
+
"step": 1780
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 1.08,
|
| 1323 |
+
"learning_rate": 8.945e-06,
|
| 1324 |
+
"loss": 0.7261,
|
| 1325 |
+
"step": 1790
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 1.09,
|
| 1329 |
+
"learning_rate": 8.995000000000001e-06,
|
| 1330 |
+
"loss": 0.7032,
|
| 1331 |
+
"step": 1800
|
| 1332 |
+
},
|
| 1333 |
+
{
|
| 1334 |
+
"epoch": 1.09,
|
| 1335 |
+
"learning_rate": 9.045e-06,
|
| 1336 |
+
"loss": 0.725,
|
| 1337 |
+
"step": 1810
|
| 1338 |
+
},
|
| 1339 |
+
{
|
| 1340 |
+
"epoch": 1.1,
|
| 1341 |
+
"learning_rate": 9.095e-06,
|
| 1342 |
+
"loss": 0.7157,
|
| 1343 |
+
"step": 1820
|
| 1344 |
+
},
|
| 1345 |
+
{
|
| 1346 |
+
"epoch": 1.1,
|
| 1347 |
+
"learning_rate": 9.145000000000001e-06,
|
| 1348 |
+
"loss": 0.7259,
|
| 1349 |
+
"step": 1830
|
| 1350 |
+
},
|
| 1351 |
+
{
|
| 1352 |
+
"epoch": 1.11,
|
| 1353 |
+
"learning_rate": 9.195000000000001e-06,
|
| 1354 |
+
"loss": 0.7287,
|
| 1355 |
+
"step": 1840
|
| 1356 |
+
},
|
| 1357 |
+
{
|
| 1358 |
+
"epoch": 1.12,
|
| 1359 |
+
"learning_rate": 9.245e-06,
|
| 1360 |
+
"loss": 0.7039,
|
| 1361 |
+
"step": 1850
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 1.12,
|
| 1365 |
+
"learning_rate": 9.295e-06,
|
| 1366 |
+
"loss": 0.7186,
|
| 1367 |
+
"step": 1860
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 1.13,
|
| 1371 |
+
"learning_rate": 9.345000000000001e-06,
|
| 1372 |
+
"loss": 0.7132,
|
| 1373 |
+
"step": 1870
|
| 1374 |
+
},
|
| 1375 |
+
{
|
| 1376 |
+
"epoch": 1.13,
|
| 1377 |
+
"learning_rate": 9.395e-06,
|
| 1378 |
+
"loss": 0.7276,
|
| 1379 |
+
"step": 1880
|
| 1380 |
+
},
|
| 1381 |
+
{
|
| 1382 |
+
"epoch": 1.14,
|
| 1383 |
+
"learning_rate": 9.445e-06,
|
| 1384 |
+
"loss": 0.7048,
|
| 1385 |
+
"step": 1890
|
| 1386 |
+
},
|
| 1387 |
+
{
|
| 1388 |
+
"epoch": 1.15,
|
| 1389 |
+
"learning_rate": 9.495000000000001e-06,
|
| 1390 |
+
"loss": 0.7223,
|
| 1391 |
+
"step": 1900
|
| 1392 |
+
},
|
| 1393 |
+
{
|
| 1394 |
+
"epoch": 1.15,
|
| 1395 |
+
"learning_rate": 9.545000000000001e-06,
|
| 1396 |
+
"loss": 0.721,
|
| 1397 |
+
"step": 1910
|
| 1398 |
+
},
|
| 1399 |
+
{
|
| 1400 |
+
"epoch": 1.16,
|
| 1401 |
+
"learning_rate": 9.595e-06,
|
| 1402 |
+
"loss": 0.717,
|
| 1403 |
+
"step": 1920
|
| 1404 |
+
},
|
| 1405 |
+
{
|
| 1406 |
+
"epoch": 1.16,
|
| 1407 |
+
"learning_rate": 9.645000000000002e-06,
|
| 1408 |
+
"loss": 0.7276,
|
| 1409 |
+
"step": 1930
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 1.17,
|
| 1413 |
+
"learning_rate": 9.695000000000001e-06,
|
| 1414 |
+
"loss": 0.7248,
|
| 1415 |
+
"step": 1940
|
| 1416 |
+
},
|
| 1417 |
+
{
|
| 1418 |
+
"epoch": 1.18,
|
| 1419 |
+
"learning_rate": 9.745e-06,
|
| 1420 |
+
"loss": 0.7404,
|
| 1421 |
+
"step": 1950
|
| 1422 |
+
},
|
| 1423 |
+
{
|
| 1424 |
+
"epoch": 1.18,
|
| 1425 |
+
"learning_rate": 9.795000000000002e-06,
|
| 1426 |
+
"loss": 0.7055,
|
| 1427 |
+
"step": 1960
|
| 1428 |
+
},
|
| 1429 |
+
{
|
| 1430 |
+
"epoch": 1.19,
|
| 1431 |
+
"learning_rate": 9.845000000000001e-06,
|
| 1432 |
+
"loss": 0.7278,
|
| 1433 |
+
"step": 1970
|
| 1434 |
+
},
|
| 1435 |
+
{
|
| 1436 |
+
"epoch": 1.2,
|
| 1437 |
+
"learning_rate": 9.895000000000001e-06,
|
| 1438 |
+
"loss": 0.7386,
|
| 1439 |
+
"step": 1980
|
| 1440 |
+
},
|
| 1441 |
+
{
|
| 1442 |
+
"epoch": 1.2,
|
| 1443 |
+
"learning_rate": 9.945e-06,
|
| 1444 |
+
"loss": 0.7316,
|
| 1445 |
+
"step": 1990
|
| 1446 |
+
},
|
| 1447 |
+
{
|
| 1448 |
+
"epoch": 1.21,
|
| 1449 |
+
"learning_rate": 9.995000000000002e-06,
|
| 1450 |
+
"loss": 0.7317,
|
| 1451 |
+
"step": 2000
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 1.21,
|
| 1455 |
+
"eval_oasst_export_accuracy": 0.7127776954366549,
|
| 1456 |
+
"eval_oasst_export_loss": 1.2178658246994019,
|
| 1457 |
+
"eval_oasst_export_runtime": 68.1598,
|
| 1458 |
+
"eval_oasst_export_samples_per_second": 30.722,
|
| 1459 |
+
"eval_oasst_export_steps_per_second": 1.291,
|
| 1460 |
+
"step": 2000
|
| 1461 |
+
},
|
| 1462 |
+
{
|
| 1463 |
+
"epoch": 1.21,
|
| 1464 |
+
"eval_code_alpaca_accuracy": 0.8417226867792534,
|
| 1465 |
+
"eval_code_alpaca_loss": 0.5532773733139038,
|
| 1466 |
+
"eval_code_alpaca_runtime": 5.2964,
|
| 1467 |
+
"eval_code_alpaca_samples_per_second": 47.202,
|
| 1468 |
+
"eval_code_alpaca_steps_per_second": 2.077,
|
| 1469 |
+
"step": 2000
|
| 1470 |
+
},
|
| 1471 |
+
{
|
| 1472 |
+
"epoch": 1.21,
|
| 1473 |
+
"eval_evol_v2_accuracy": 0.7965186099357738,
|
| 1474 |
+
"eval_evol_v2_loss": 0.693313717842102,
|
| 1475 |
+
"eval_evol_v2_runtime": 274.7294,
|
| 1476 |
+
"eval_evol_v2_samples_per_second": 26.026,
|
| 1477 |
+
"eval_evol_v2_steps_per_second": 1.085,
|
| 1478 |
+
"step": 2000
|
| 1479 |
+
},
|
| 1480 |
+
{
|
| 1481 |
+
"epoch": 1.21,
|
| 1482 |
+
"eval_nlu_instruct_accuracy": 0.8156692420335936,
|
| 1483 |
+
"eval_nlu_instruct_loss": 0.6785455942153931,
|
| 1484 |
+
"eval_nlu_instruct_runtime": 3477.3559,
|
| 1485 |
+
"eval_nlu_instruct_samples_per_second": 22.437,
|
| 1486 |
+
"eval_nlu_instruct_steps_per_second": 0.935,
|
| 1487 |
+
"step": 2000
|
| 1488 |
+
},
|
| 1489 |
+
{
|
| 1490 |
+
"epoch": 1.21,
|
| 1491 |
+
"eval_grade_school_math_instructions_accuracy": 0.8186011323701678,
|
| 1492 |
+
"eval_grade_school_math_instructions_loss": 0.6188520789146423,
|
| 1493 |
+
"eval_grade_school_math_instructions_runtime": 10.016,
|
| 1494 |
+
"eval_grade_school_math_instructions_samples_per_second": 43.93,
|
| 1495 |
+
"eval_grade_school_math_instructions_steps_per_second": 1.897,
|
| 1496 |
+
"step": 2000
|
| 1497 |
+
},
|
| 1498 |
+
{
|
| 1499 |
+
"epoch": 1.21,
|
| 1500 |
+
"eval_poem_instructions_accuracy": 0.5050254631608515,
|
| 1501 |
+
"eval_poem_instructions_loss": 2.5899674892425537,
|
| 1502 |
+
"eval_poem_instructions_runtime": 21.1807,
|
| 1503 |
+
"eval_poem_instructions_samples_per_second": 16.383,
|
| 1504 |
+
"eval_poem_instructions_steps_per_second": 0.708,
|
| 1505 |
+
"step": 2000
|
| 1506 |
+
},
|
| 1507 |
+
{
|
| 1508 |
+
"epoch": 1.21,
|
| 1509 |
+
"eval_gpt4all_accuracy": 0.7903227041985094,
|
| 1510 |
+
"eval_gpt4all_loss": 0.7531591057777405,
|
| 1511 |
+
"eval_gpt4all_runtime": 3566.1745,
|
| 1512 |
+
"eval_gpt4all_samples_per_second": 21.805,
|
| 1513 |
+
"eval_gpt4all_steps_per_second": 0.909,
|
| 1514 |
+
"step": 2000
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 1.21,
|
| 1518 |
+
"eval_joke_accuracy": 0.572693255453135,
|
| 1519 |
+
"eval_joke_loss": 1.7435238361358643,
|
| 1520 |
+
"eval_joke_runtime": 4.873,
|
| 1521 |
+
"eval_joke_samples_per_second": 15.596,
|
| 1522 |
+
"eval_joke_steps_per_second": 0.821,
|
| 1523 |
+
"step": 2000
|
| 1524 |
+
},
|
| 1525 |
+
{
|
| 1526 |
+
"epoch": 1.21,
|
| 1527 |
+
"eval_gsm8k_accuracy": 0.8679970402152154,
|
| 1528 |
+
"eval_gsm8k_loss": 0.4584772288799286,
|
| 1529 |
+
"eval_gsm8k_runtime": 22.6037,
|
| 1530 |
+
"eval_gsm8k_samples_per_second": 58.353,
|
| 1531 |
+
"eval_gsm8k_steps_per_second": 2.433,
|
| 1532 |
+
"step": 2000
|
| 1533 |
+
},
|
| 1534 |
+
{
|
| 1535 |
+
"epoch": 1.21,
|
| 1536 |
+
"learning_rate": 9.985668789808918e-06,
|
| 1537 |
+
"loss": 0.7147,
|
| 1538 |
+
"step": 2010
|
| 1539 |
+
},
|
| 1540 |
+
{
|
| 1541 |
+
"epoch": 1.22,
|
| 1542 |
+
"learning_rate": 9.969745222929938e-06,
|
| 1543 |
+
"loss": 0.7078,
|
| 1544 |
+
"step": 2020
|
| 1545 |
+
},
|
| 1546 |
+
{
|
| 1547 |
+
"epoch": 1.23,
|
| 1548 |
+
"learning_rate": 9.953821656050957e-06,
|
| 1549 |
+
"loss": 0.7232,
|
| 1550 |
+
"step": 2030
|
| 1551 |
+
},
|
| 1552 |
+
{
|
| 1553 |
+
"epoch": 1.23,
|
| 1554 |
+
"learning_rate": 9.937898089171976e-06,
|
| 1555 |
+
"loss": 0.7238,
|
| 1556 |
+
"step": 2040
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 1.24,
|
| 1560 |
+
"learning_rate": 9.921974522292994e-06,
|
| 1561 |
+
"loss": 0.7266,
|
| 1562 |
+
"step": 2050
|
| 1563 |
+
},
|
| 1564 |
+
{
|
| 1565 |
+
"epoch": 1.24,
|
| 1566 |
+
"learning_rate": 9.906050955414014e-06,
|
| 1567 |
+
"loss": 0.7208,
|
| 1568 |
+
"step": 2060
|
| 1569 |
+
},
|
| 1570 |
+
{
|
| 1571 |
+
"epoch": 1.25,
|
| 1572 |
+
"learning_rate": 9.890127388535032e-06,
|
| 1573 |
+
"loss": 0.7311,
|
| 1574 |
+
"step": 2070
|
| 1575 |
+
},
|
| 1576 |
+
{
|
| 1577 |
+
"epoch": 1.26,
|
| 1578 |
+
"learning_rate": 9.874203821656053e-06,
|
| 1579 |
+
"loss": 0.7219,
|
| 1580 |
+
"step": 2080
|
| 1581 |
+
},
|
| 1582 |
+
{
|
| 1583 |
+
"epoch": 1.26,
|
| 1584 |
+
"learning_rate": 9.85828025477707e-06,
|
| 1585 |
+
"loss": 0.7223,
|
| 1586 |
+
"step": 2090
|
| 1587 |
+
},
|
| 1588 |
+
{
|
| 1589 |
+
"epoch": 1.27,
|
| 1590 |
+
"learning_rate": 9.84235668789809e-06,
|
| 1591 |
+
"loss": 0.7251,
|
| 1592 |
+
"step": 2100
|
| 1593 |
+
},
|
| 1594 |
+
{
|
| 1595 |
+
"epoch": 1.27,
|
| 1596 |
+
"learning_rate": 9.826433121019109e-06,
|
| 1597 |
+
"loss": 0.7338,
|
| 1598 |
+
"step": 2110
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 1.28,
|
| 1602 |
+
"learning_rate": 9.810509554140128e-06,
|
| 1603 |
+
"loss": 0.7347,
|
| 1604 |
+
"step": 2120
|
| 1605 |
+
},
|
| 1606 |
+
{
|
| 1607 |
+
"epoch": 1.29,
|
| 1608 |
+
"learning_rate": 9.794585987261147e-06,
|
| 1609 |
+
"loss": 0.7079,
|
| 1610 |
+
"step": 2130
|
| 1611 |
+
},
|
| 1612 |
+
{
|
| 1613 |
+
"epoch": 1.29,
|
| 1614 |
+
"learning_rate": 9.778662420382167e-06,
|
| 1615 |
+
"loss": 0.7394,
|
| 1616 |
+
"step": 2140
|
| 1617 |
+
},
|
| 1618 |
+
{
|
| 1619 |
+
"epoch": 1.3,
|
| 1620 |
+
"learning_rate": 9.762738853503186e-06,
|
| 1621 |
+
"loss": 0.7344,
|
| 1622 |
+
"step": 2150
|
| 1623 |
+
},
|
| 1624 |
+
{
|
| 1625 |
+
"epoch": 1.3,
|
| 1626 |
+
"learning_rate": 9.746815286624205e-06,
|
| 1627 |
+
"loss": 0.7289,
|
| 1628 |
+
"step": 2160
|
| 1629 |
+
},
|
| 1630 |
+
{
|
| 1631 |
+
"epoch": 1.31,
|
| 1632 |
+
"learning_rate": 9.730891719745224e-06,
|
| 1633 |
+
"loss": 0.7137,
|
| 1634 |
+
"step": 2170
|
| 1635 |
+
},
|
| 1636 |
+
{
|
| 1637 |
+
"epoch": 1.32,
|
| 1638 |
+
"learning_rate": 9.714968152866243e-06,
|
| 1639 |
+
"loss": 0.7208,
|
| 1640 |
+
"step": 2180
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 1.32,
|
| 1644 |
+
"learning_rate": 9.699044585987261e-06,
|
| 1645 |
+
"loss": 0.7449,
|
| 1646 |
+
"step": 2190
|
| 1647 |
+
},
|
| 1648 |
+
{
|
| 1649 |
+
"epoch": 1.33,
|
| 1650 |
+
"learning_rate": 9.683121019108282e-06,
|
| 1651 |
+
"loss": 0.7258,
|
| 1652 |
+
"step": 2200
|
| 1653 |
+
},
|
| 1654 |
+
{
|
| 1655 |
+
"epoch": 1.33,
|
| 1656 |
+
"learning_rate": 9.6671974522293e-06,
|
| 1657 |
+
"loss": 0.7285,
|
| 1658 |
+
"step": 2210
|
| 1659 |
+
},
|
| 1660 |
+
{
|
| 1661 |
+
"epoch": 1.34,
|
| 1662 |
+
"learning_rate": 9.65127388535032e-06,
|
| 1663 |
+
"loss": 0.7364,
|
| 1664 |
+
"step": 2220
|
| 1665 |
+
},
|
| 1666 |
+
{
|
| 1667 |
+
"epoch": 1.35,
|
| 1668 |
+
"learning_rate": 9.635350318471338e-06,
|
| 1669 |
+
"loss": 0.726,
|
| 1670 |
+
"step": 2230
|
| 1671 |
+
},
|
| 1672 |
+
{
|
| 1673 |
+
"epoch": 1.35,
|
| 1674 |
+
"learning_rate": 9.619426751592357e-06,
|
| 1675 |
+
"loss": 0.7426,
|
| 1676 |
+
"step": 2240
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"epoch": 1.36,
|
| 1680 |
+
"learning_rate": 9.603503184713376e-06,
|
| 1681 |
+
"loss": 0.7385,
|
| 1682 |
+
"step": 2250
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 1.36,
|
| 1686 |
+
"learning_rate": 9.587579617834396e-06,
|
| 1687 |
+
"loss": 0.7227,
|
| 1688 |
+
"step": 2260
|
| 1689 |
+
},
|
| 1690 |
+
{
|
| 1691 |
+
"epoch": 1.37,
|
| 1692 |
+
"learning_rate": 9.571656050955415e-06,
|
| 1693 |
+
"loss": 0.7336,
|
| 1694 |
+
"step": 2270
|
| 1695 |
+
},
|
| 1696 |
+
{
|
| 1697 |
+
"epoch": 1.38,
|
| 1698 |
+
"learning_rate": 9.555732484076434e-06,
|
| 1699 |
+
"loss": 0.7056,
|
| 1700 |
+
"step": 2280
|
| 1701 |
+
},
|
| 1702 |
+
{
|
| 1703 |
+
"epoch": 1.38,
|
| 1704 |
+
"learning_rate": 9.539808917197453e-06,
|
| 1705 |
+
"loss": 0.7305,
|
| 1706 |
+
"step": 2290
|
| 1707 |
+
},
|
| 1708 |
+
{
|
| 1709 |
+
"epoch": 1.39,
|
| 1710 |
+
"learning_rate": 9.523885350318473e-06,
|
| 1711 |
+
"loss": 0.7506,
|
| 1712 |
+
"step": 2300
|
| 1713 |
+
},
|
| 1714 |
+
{
|
| 1715 |
+
"epoch": 1.39,
|
| 1716 |
+
"learning_rate": 9.507961783439492e-06,
|
| 1717 |
+
"loss": 0.7413,
|
| 1718 |
+
"step": 2310
|
| 1719 |
+
},
|
| 1720 |
+
{
|
| 1721 |
+
"epoch": 1.4,
|
| 1722 |
+
"learning_rate": 9.492038216560511e-06,
|
| 1723 |
+
"loss": 0.7101,
|
| 1724 |
+
"step": 2320
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 1.41,
|
| 1728 |
+
"learning_rate": 9.476114649681529e-06,
|
| 1729 |
+
"loss": 0.7361,
|
| 1730 |
+
"step": 2330
|
| 1731 |
+
},
|
| 1732 |
+
{
|
| 1733 |
+
"epoch": 1.41,
|
| 1734 |
+
"learning_rate": 9.46019108280255e-06,
|
| 1735 |
+
"loss": 0.7393,
|
| 1736 |
+
"step": 2340
|
| 1737 |
+
},
|
| 1738 |
+
{
|
| 1739 |
+
"epoch": 1.42,
|
| 1740 |
+
"learning_rate": 9.444267515923567e-06,
|
| 1741 |
+
"loss": 0.7135,
|
| 1742 |
+
"step": 2350
|
| 1743 |
+
},
|
| 1744 |
+
{
|
| 1745 |
+
"epoch": 1.42,
|
| 1746 |
+
"learning_rate": 9.428343949044588e-06,
|
| 1747 |
+
"loss": 0.7115,
|
| 1748 |
+
"step": 2360
|
| 1749 |
+
},
|
| 1750 |
+
{
|
| 1751 |
+
"epoch": 1.43,
|
| 1752 |
+
"learning_rate": 9.412420382165605e-06,
|
| 1753 |
+
"loss": 0.7262,
|
| 1754 |
+
"step": 2370
|
| 1755 |
+
},
|
| 1756 |
+
{
|
| 1757 |
+
"epoch": 1.44,
|
| 1758 |
+
"learning_rate": 9.396496815286625e-06,
|
| 1759 |
+
"loss": 0.7393,
|
| 1760 |
+
"step": 2380
|
| 1761 |
+
},
|
| 1762 |
+
{
|
| 1763 |
+
"epoch": 1.44,
|
| 1764 |
+
"learning_rate": 9.380573248407644e-06,
|
| 1765 |
+
"loss": 0.7193,
|
| 1766 |
+
"step": 2390
|
| 1767 |
+
},
|
| 1768 |
+
{
|
| 1769 |
+
"epoch": 1.45,
|
| 1770 |
+
"learning_rate": 9.364649681528663e-06,
|
| 1771 |
+
"loss": 0.7258,
|
| 1772 |
+
"step": 2400
|
| 1773 |
+
},
|
| 1774 |
+
{
|
| 1775 |
+
"epoch": 1.45,
|
| 1776 |
+
"learning_rate": 9.348726114649682e-06,
|
| 1777 |
+
"loss": 0.7296,
|
| 1778 |
+
"step": 2410
|
| 1779 |
+
},
|
| 1780 |
+
{
|
| 1781 |
+
"epoch": 1.46,
|
| 1782 |
+
"learning_rate": 9.332802547770702e-06,
|
| 1783 |
+
"loss": 0.7259,
|
| 1784 |
+
"step": 2420
|
| 1785 |
+
},
|
| 1786 |
+
{
|
| 1787 |
+
"epoch": 1.47,
|
| 1788 |
+
"learning_rate": 9.31687898089172e-06,
|
| 1789 |
+
"loss": 0.7297,
|
| 1790 |
+
"step": 2430
|
| 1791 |
+
},
|
| 1792 |
+
{
|
| 1793 |
+
"epoch": 1.47,
|
| 1794 |
+
"learning_rate": 9.30095541401274e-06,
|
| 1795 |
+
"loss": 0.7239,
|
| 1796 |
+
"step": 2440
|
| 1797 |
+
},
|
| 1798 |
+
{
|
| 1799 |
+
"epoch": 1.48,
|
| 1800 |
+
"learning_rate": 9.28503184713376e-06,
|
| 1801 |
+
"loss": 0.718,
|
| 1802 |
+
"step": 2450
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"epoch": 1.48,
|
| 1806 |
+
"learning_rate": 9.269108280254778e-06,
|
| 1807 |
+
"loss": 0.7239,
|
| 1808 |
+
"step": 2460
|
| 1809 |
+
},
|
| 1810 |
+
{
|
| 1811 |
+
"epoch": 1.49,
|
| 1812 |
+
"learning_rate": 9.253184713375796e-06,
|
| 1813 |
+
"loss": 0.7307,
|
| 1814 |
+
"step": 2470
|
| 1815 |
+
},
|
| 1816 |
+
{
|
| 1817 |
+
"epoch": 1.5,
|
| 1818 |
+
"learning_rate": 9.237261146496817e-06,
|
| 1819 |
+
"loss": 0.7294,
|
| 1820 |
+
"step": 2480
|
| 1821 |
+
},
|
| 1822 |
+
{
|
| 1823 |
+
"epoch": 1.5,
|
| 1824 |
+
"learning_rate": 9.221337579617834e-06,
|
| 1825 |
+
"loss": 0.7326,
|
| 1826 |
+
"step": 2490
|
| 1827 |
+
},
|
| 1828 |
+
{
|
| 1829 |
+
"epoch": 1.51,
|
| 1830 |
+
"learning_rate": 9.205414012738855e-06,
|
| 1831 |
+
"loss": 0.7295,
|
| 1832 |
+
"step": 2500
|
| 1833 |
+
},
|
| 1834 |
+
{
|
| 1835 |
+
"epoch": 1.51,
|
| 1836 |
+
"eval_oasst_export_accuracy": 0.7117135947727322,
|
| 1837 |
+
"eval_oasst_export_loss": 1.234184741973877,
|
| 1838 |
+
"eval_oasst_export_runtime": 68.1505,
|
| 1839 |
+
"eval_oasst_export_samples_per_second": 30.726,
|
| 1840 |
+
"eval_oasst_export_steps_per_second": 1.291,
|
| 1841 |
+
"step": 2500
|
| 1842 |
+
},
|
| 1843 |
+
{
|
| 1844 |
+
"epoch": 1.51,
|
| 1845 |
+
"eval_code_alpaca_accuracy": 0.8403563425698202,
|
| 1846 |
+
"eval_code_alpaca_loss": 0.557296872138977,
|
| 1847 |
+
"eval_code_alpaca_runtime": 4.9636,
|
| 1848 |
+
"eval_code_alpaca_samples_per_second": 50.367,
|
| 1849 |
+
"eval_code_alpaca_steps_per_second": 2.216,
|
| 1850 |
+
"step": 2500
|
| 1851 |
+
},
|
| 1852 |
+
{
|
| 1853 |
+
"epoch": 1.51,
|
| 1854 |
+
"eval_evol_v2_accuracy": 0.7950730371609088,
|
| 1855 |
+
"eval_evol_v2_loss": 0.70171058177948,
|
| 1856 |
+
"eval_evol_v2_runtime": 275.0985,
|
| 1857 |
+
"eval_evol_v2_samples_per_second": 25.991,
|
| 1858 |
+
"eval_evol_v2_steps_per_second": 1.083,
|
| 1859 |
+
"step": 2500
|
| 1860 |
+
},
|
| 1861 |
+
{
|
| 1862 |
+
"epoch": 1.51,
|
| 1863 |
+
"eval_nlu_instruct_accuracy": 0.8178751700867107,
|
| 1864 |
+
"eval_nlu_instruct_loss": 0.677690327167511,
|
| 1865 |
+
"eval_nlu_instruct_runtime": 3484.6437,
|
| 1866 |
+
"eval_nlu_instruct_samples_per_second": 22.391,
|
| 1867 |
+
"eval_nlu_instruct_steps_per_second": 0.933,
|
| 1868 |
+
"step": 2500
|
| 1869 |
+
},
|
| 1870 |
+
{
|
| 1871 |
+
"epoch": 1.51,
|
| 1872 |
+
"eval_grade_school_math_instructions_accuracy": 0.8254099960952753,
|
| 1873 |
+
"eval_grade_school_math_instructions_loss": 0.5937632918357849,
|
| 1874 |
+
"eval_grade_school_math_instructions_runtime": 8.3622,
|
| 1875 |
+
"eval_grade_school_math_instructions_samples_per_second": 52.618,
|
| 1876 |
+
"eval_grade_school_math_instructions_steps_per_second": 2.272,
|
| 1877 |
+
"step": 2500
|
| 1878 |
+
},
|
| 1879 |
+
{
|
| 1880 |
+
"epoch": 1.51,
|
| 1881 |
+
"eval_poem_instructions_accuracy": 0.5039080150947083,
|
| 1882 |
+
"eval_poem_instructions_loss": 2.603971481323242,
|
| 1883 |
+
"eval_poem_instructions_runtime": 21.2045,
|
| 1884 |
+
"eval_poem_instructions_samples_per_second": 16.364,
|
| 1885 |
+
"eval_poem_instructions_steps_per_second": 0.707,
|
| 1886 |
+
"step": 2500
|
| 1887 |
+
},
|
| 1888 |
+
{
|
| 1889 |
+
"epoch": 1.51,
|
| 1890 |
+
"eval_gpt4all_accuracy": 0.7901557992616548,
|
| 1891 |
+
"eval_gpt4all_loss": 0.7601524591445923,
|
| 1892 |
+
"eval_gpt4all_runtime": 3565.0345,
|
| 1893 |
+
"eval_gpt4all_samples_per_second": 21.812,
|
| 1894 |
+
"eval_gpt4all_steps_per_second": 0.909,
|
| 1895 |
+
"step": 2500
|
| 1896 |
+
},
|
| 1897 |
+
{
|
| 1898 |
+
"epoch": 1.51,
|
| 1899 |
+
"eval_joke_accuracy": 0.5776216117550425,
|
| 1900 |
+
"eval_joke_loss": 1.7364308834075928,
|
| 1901 |
+
"eval_joke_runtime": 9.9885,
|
| 1902 |
+
"eval_joke_samples_per_second": 7.609,
|
| 1903 |
+
"eval_joke_steps_per_second": 0.4,
|
| 1904 |
+
"step": 2500
|
| 1905 |
+
},
|
| 1906 |
+
{
|
| 1907 |
+
"epoch": 1.51,
|
| 1908 |
+
"eval_gsm8k_accuracy": 0.8719721000131928,
|
| 1909 |
+
"eval_gsm8k_loss": 0.4444270133972168,
|
| 1910 |
+
"eval_gsm8k_runtime": 22.8112,
|
| 1911 |
+
"eval_gsm8k_samples_per_second": 57.822,
|
| 1912 |
+
"eval_gsm8k_steps_per_second": 2.411,
|
| 1913 |
+
"step": 2500
|
| 1914 |
+
},
|
| 1915 |
+
{
|
| 1916 |
+
"epoch": 1.52,
|
| 1917 |
+
"learning_rate": 9.189490445859873e-06,
|
| 1918 |
+
"loss": 0.7294,
|
| 1919 |
+
"step": 2510
|
| 1920 |
+
},
|
| 1921 |
+
{
|
| 1922 |
+
"epoch": 1.52,
|
| 1923 |
+
"learning_rate": 9.173566878980892e-06,
|
| 1924 |
+
"loss": 0.7326,
|
| 1925 |
+
"step": 2520
|
| 1926 |
+
},
|
| 1927 |
+
{
|
| 1928 |
+
"epoch": 1.53,
|
| 1929 |
+
"learning_rate": 9.157643312101911e-06,
|
| 1930 |
+
"loss": 0.7375,
|
| 1931 |
+
"step": 2530
|
| 1932 |
+
},
|
| 1933 |
+
{
|
| 1934 |
+
"epoch": 1.53,
|
| 1935 |
+
"learning_rate": 9.14171974522293e-06,
|
| 1936 |
+
"loss": 0.7289,
|
| 1937 |
+
"step": 2540
|
| 1938 |
+
},
|
| 1939 |
+
{
|
| 1940 |
+
"epoch": 1.54,
|
| 1941 |
+
"learning_rate": 9.12579617834395e-06,
|
| 1942 |
+
"loss": 0.7277,
|
| 1943 |
+
"step": 2550
|
| 1944 |
+
},
|
| 1945 |
+
{
|
| 1946 |
+
"epoch": 1.55,
|
| 1947 |
+
"learning_rate": 9.109872611464969e-06,
|
| 1948 |
+
"loss": 0.7215,
|
| 1949 |
+
"step": 2560
|
| 1950 |
+
},
|
| 1951 |
+
{
|
| 1952 |
+
"epoch": 1.55,
|
| 1953 |
+
"learning_rate": 9.093949044585988e-06,
|
| 1954 |
+
"loss": 0.7397,
|
| 1955 |
+
"step": 2570
|
| 1956 |
+
},
|
| 1957 |
+
{
|
| 1958 |
+
"epoch": 1.56,
|
| 1959 |
+
"learning_rate": 9.078025477707008e-06,
|
| 1960 |
+
"loss": 0.7378,
|
| 1961 |
+
"step": 2580
|
| 1962 |
+
},
|
| 1963 |
+
{
|
| 1964 |
+
"epoch": 1.56,
|
| 1965 |
+
"learning_rate": 9.062101910828027e-06,
|
| 1966 |
+
"loss": 0.7287,
|
| 1967 |
+
"step": 2590
|
| 1968 |
+
},
|
| 1969 |
+
{
|
| 1970 |
+
"epoch": 1.57,
|
| 1971 |
+
"learning_rate": 9.046178343949046e-06,
|
| 1972 |
+
"loss": 0.7254,
|
| 1973 |
+
"step": 2600
|
| 1974 |
+
},
|
| 1975 |
+
{
|
| 1976 |
+
"epoch": 1.58,
|
| 1977 |
+
"learning_rate": 9.030254777070064e-06,
|
| 1978 |
+
"loss": 0.7291,
|
| 1979 |
+
"step": 2610
|
| 1980 |
+
},
|
| 1981 |
+
{
|
| 1982 |
+
"epoch": 1.58,
|
| 1983 |
+
"learning_rate": 9.014331210191084e-06,
|
| 1984 |
+
"loss": 0.7239,
|
| 1985 |
+
"step": 2620
|
| 1986 |
+
},
|
| 1987 |
+
{
|
| 1988 |
+
"epoch": 1.59,
|
| 1989 |
+
"learning_rate": 8.998407643312102e-06,
|
| 1990 |
+
"loss": 0.7285,
|
| 1991 |
+
"step": 2630
|
| 1992 |
+
},
|
| 1993 |
+
{
|
| 1994 |
+
"epoch": 1.59,
|
| 1995 |
+
"learning_rate": 8.982484076433123e-06,
|
| 1996 |
+
"loss": 0.7217,
|
| 1997 |
+
"step": 2640
|
| 1998 |
+
},
|
| 1999 |
+
{
|
| 2000 |
+
"epoch": 1.6,
|
| 2001 |
+
"learning_rate": 8.96656050955414e-06,
|
| 2002 |
+
"loss": 0.7123,
|
| 2003 |
+
"step": 2650
|
| 2004 |
+
},
|
| 2005 |
+
{
|
| 2006 |
+
"epoch": 1.61,
|
| 2007 |
+
"learning_rate": 8.95063694267516e-06,
|
| 2008 |
+
"loss": 0.7262,
|
| 2009 |
+
"step": 2660
|
| 2010 |
+
},
|
| 2011 |
+
{
|
| 2012 |
+
"epoch": 1.61,
|
| 2013 |
+
"learning_rate": 8.934713375796179e-06,
|
| 2014 |
+
"loss": 0.7311,
|
| 2015 |
+
"step": 2670
|
| 2016 |
+
},
|
| 2017 |
+
{
|
| 2018 |
+
"epoch": 1.62,
|
| 2019 |
+
"learning_rate": 8.918789808917198e-06,
|
| 2020 |
+
"loss": 0.7249,
|
| 2021 |
+
"step": 2680
|
| 2022 |
+
},
|
| 2023 |
+
{
|
| 2024 |
+
"epoch": 1.62,
|
| 2025 |
+
"learning_rate": 8.902866242038217e-06,
|
| 2026 |
+
"loss": 0.7244,
|
| 2027 |
+
"step": 2690
|
| 2028 |
+
},
|
| 2029 |
+
{
|
| 2030 |
+
"epoch": 1.63,
|
| 2031 |
+
"learning_rate": 8.886942675159237e-06,
|
| 2032 |
+
"loss": 0.7417,
|
| 2033 |
+
"step": 2700
|
| 2034 |
+
},
|
| 2035 |
+
{
|
| 2036 |
+
"epoch": 1.64,
|
| 2037 |
+
"learning_rate": 8.871019108280256e-06,
|
| 2038 |
+
"loss": 0.7314,
|
| 2039 |
+
"step": 2710
|
| 2040 |
+
},
|
| 2041 |
+
{
|
| 2042 |
+
"epoch": 1.64,
|
| 2043 |
+
"learning_rate": 8.855095541401275e-06,
|
| 2044 |
+
"loss": 0.7499,
|
| 2045 |
+
"step": 2720
|
| 2046 |
+
},
|
| 2047 |
+
{
|
| 2048 |
+
"epoch": 1.65,
|
| 2049 |
+
"learning_rate": 8.839171974522294e-06,
|
| 2050 |
+
"loss": 0.7364,
|
| 2051 |
+
"step": 2730
|
| 2052 |
+
},
|
| 2053 |
+
{
|
| 2054 |
+
"epoch": 1.65,
|
| 2055 |
+
"learning_rate": 8.823248407643313e-06,
|
| 2056 |
+
"loss": 0.7433,
|
| 2057 |
+
"step": 2740
|
| 2058 |
+
},
|
| 2059 |
+
{
|
| 2060 |
+
"epoch": 1.66,
|
| 2061 |
+
"learning_rate": 8.807324840764333e-06,
|
| 2062 |
+
"loss": 0.7288,
|
| 2063 |
+
"step": 2750
|
| 2064 |
+
},
|
| 2065 |
+
{
|
| 2066 |
+
"epoch": 1.67,
|
| 2067 |
+
"learning_rate": 8.791401273885352e-06,
|
| 2068 |
+
"loss": 0.7286,
|
| 2069 |
+
"step": 2760
|
| 2070 |
+
},
|
| 2071 |
+
{
|
| 2072 |
+
"epoch": 1.67,
|
| 2073 |
+
"learning_rate": 8.77547770700637e-06,
|
| 2074 |
+
"loss": 0.7229,
|
| 2075 |
+
"step": 2770
|
| 2076 |
+
},
|
| 2077 |
+
{
|
| 2078 |
+
"epoch": 1.68,
|
| 2079 |
+
"learning_rate": 8.75955414012739e-06,
|
| 2080 |
+
"loss": 0.7434,
|
| 2081 |
+
"step": 2780
|
| 2082 |
+
},
|
| 2083 |
+
{
|
| 2084 |
+
"epoch": 1.68,
|
| 2085 |
+
"learning_rate": 8.743630573248408e-06,
|
| 2086 |
+
"loss": 0.7283,
|
| 2087 |
+
"step": 2790
|
| 2088 |
+
},
|
| 2089 |
+
{
|
| 2090 |
+
"epoch": 1.69,
|
| 2091 |
+
"learning_rate": 8.727707006369427e-06,
|
| 2092 |
+
"loss": 0.7304,
|
| 2093 |
+
"step": 2800
|
| 2094 |
+
},
|
| 2095 |
+
{
|
| 2096 |
+
"epoch": 1.7,
|
| 2097 |
+
"learning_rate": 8.711783439490446e-06,
|
| 2098 |
+
"loss": 0.7212,
|
| 2099 |
+
"step": 2810
|
| 2100 |
+
},
|
| 2101 |
+
{
|
| 2102 |
+
"epoch": 1.7,
|
| 2103 |
+
"learning_rate": 8.695859872611466e-06,
|
| 2104 |
+
"loss": 0.749,
|
| 2105 |
+
"step": 2820
|
| 2106 |
+
},
|
| 2107 |
+
{
|
| 2108 |
+
"epoch": 1.71,
|
| 2109 |
+
"learning_rate": 8.679936305732485e-06,
|
| 2110 |
+
"loss": 0.7436,
|
| 2111 |
+
"step": 2830
|
| 2112 |
+
},
|
| 2113 |
+
{
|
| 2114 |
+
"epoch": 1.71,
|
| 2115 |
+
"learning_rate": 8.664012738853504e-06,
|
| 2116 |
+
"loss": 0.7186,
|
| 2117 |
+
"step": 2840
|
| 2118 |
+
},
|
| 2119 |
+
{
|
| 2120 |
+
"epoch": 1.72,
|
| 2121 |
+
"learning_rate": 8.648089171974523e-06,
|
| 2122 |
+
"loss": 0.7285,
|
| 2123 |
+
"step": 2850
|
| 2124 |
+
},
|
| 2125 |
+
{
|
| 2126 |
+
"epoch": 1.73,
|
| 2127 |
+
"learning_rate": 8.63216560509554e-06,
|
| 2128 |
+
"loss": 0.7354,
|
| 2129 |
+
"step": 2860
|
| 2130 |
+
},
|
| 2131 |
+
{
|
| 2132 |
+
"epoch": 1.73,
|
| 2133 |
+
"learning_rate": 8.616242038216562e-06,
|
| 2134 |
+
"loss": 0.7232,
|
| 2135 |
+
"step": 2870
|
| 2136 |
+
},
|
| 2137 |
+
{
|
| 2138 |
+
"epoch": 1.74,
|
| 2139 |
+
"learning_rate": 8.60031847133758e-06,
|
| 2140 |
+
"loss": 0.7225,
|
| 2141 |
+
"step": 2880
|
| 2142 |
+
},
|
| 2143 |
+
{
|
| 2144 |
+
"epoch": 1.74,
|
| 2145 |
+
"learning_rate": 8.5843949044586e-06,
|
| 2146 |
+
"loss": 0.7235,
|
| 2147 |
+
"step": 2890
|
| 2148 |
+
},
|
| 2149 |
+
{
|
| 2150 |
+
"epoch": 1.75,
|
| 2151 |
+
"learning_rate": 8.568471337579618e-06,
|
| 2152 |
+
"loss": 0.746,
|
| 2153 |
+
"step": 2900
|
| 2154 |
+
},
|
| 2155 |
+
{
|
| 2156 |
+
"epoch": 1.76,
|
| 2157 |
+
"learning_rate": 8.552547770700637e-06,
|
| 2158 |
+
"loss": 0.74,
|
| 2159 |
+
"step": 2910
|
| 2160 |
+
},
|
| 2161 |
+
{
|
| 2162 |
+
"epoch": 1.76,
|
| 2163 |
+
"learning_rate": 8.536624203821656e-06,
|
| 2164 |
+
"loss": 0.7431,
|
| 2165 |
+
"step": 2920
|
| 2166 |
+
},
|
| 2167 |
+
{
|
| 2168 |
+
"epoch": 1.77,
|
| 2169 |
+
"learning_rate": 8.520700636942675e-06,
|
| 2170 |
+
"loss": 0.7353,
|
| 2171 |
+
"step": 2930
|
| 2172 |
+
},
|
| 2173 |
+
{
|
| 2174 |
+
"epoch": 1.77,
|
| 2175 |
+
"learning_rate": 8.504777070063695e-06,
|
| 2176 |
+
"loss": 0.7127,
|
| 2177 |
+
"step": 2940
|
| 2178 |
+
},
|
| 2179 |
+
{
|
| 2180 |
+
"epoch": 1.78,
|
| 2181 |
+
"learning_rate": 8.488853503184714e-06,
|
| 2182 |
+
"loss": 0.7359,
|
| 2183 |
+
"step": 2950
|
| 2184 |
+
},
|
| 2185 |
+
{
|
| 2186 |
+
"epoch": 1.79,
|
| 2187 |
+
"learning_rate": 8.472929936305733e-06,
|
| 2188 |
+
"loss": 0.7182,
|
| 2189 |
+
"step": 2960
|
| 2190 |
+
},
|
| 2191 |
+
{
|
| 2192 |
+
"epoch": 1.79,
|
| 2193 |
+
"learning_rate": 8.457006369426752e-06,
|
| 2194 |
+
"loss": 0.7232,
|
| 2195 |
+
"step": 2970
|
| 2196 |
+
},
|
| 2197 |
+
{
|
| 2198 |
+
"epoch": 1.8,
|
| 2199 |
+
"learning_rate": 8.441082802547772e-06,
|
| 2200 |
+
"loss": 0.7422,
|
| 2201 |
+
"step": 2980
|
| 2202 |
+
},
|
| 2203 |
+
{
|
| 2204 |
+
"epoch": 1.8,
|
| 2205 |
+
"learning_rate": 8.42515923566879e-06,
|
| 2206 |
+
"loss": 0.7237,
|
| 2207 |
+
"step": 2990
|
| 2208 |
+
},
|
| 2209 |
+
{
|
| 2210 |
+
"epoch": 1.81,
|
| 2211 |
+
"learning_rate": 8.409235668789808e-06,
|
| 2212 |
+
"loss": 0.7376,
|
| 2213 |
+
"step": 3000
|
| 2214 |
+
},
|
| 2215 |
+
{
|
| 2216 |
+
"epoch": 1.81,
|
| 2217 |
+
"eval_oasst_export_accuracy": 0.7091762214038781,
|
| 2218 |
+
"eval_oasst_export_loss": 1.2443393468856812,
|
| 2219 |
+
"eval_oasst_export_runtime": 67.1263,
|
| 2220 |
+
"eval_oasst_export_samples_per_second": 31.195,
|
| 2221 |
+
"eval_oasst_export_steps_per_second": 1.311,
|
| 2222 |
+
"step": 3000
|
| 2223 |
+
},
|
| 2224 |
+
{
|
| 2225 |
+
"epoch": 1.81,
|
| 2226 |
+
"eval_code_alpaca_accuracy": 0.8380608842979723,
|
| 2227 |
+
"eval_code_alpaca_loss": 0.5666581988334656,
|
| 2228 |
+
"eval_code_alpaca_runtime": 6.0038,
|
| 2229 |
+
"eval_code_alpaca_samples_per_second": 41.641,
|
| 2230 |
+
"eval_code_alpaca_steps_per_second": 1.832,
|
| 2231 |
+
"step": 3000
|
| 2232 |
+
},
|
| 2233 |
+
{
|
| 2234 |
+
"epoch": 1.81,
|
| 2235 |
+
"eval_evol_v2_accuracy": 0.7950646930701502,
|
| 2236 |
+
"eval_evol_v2_loss": 0.7063774466514587,
|
| 2237 |
+
"eval_evol_v2_runtime": 274.2256,
|
| 2238 |
+
"eval_evol_v2_samples_per_second": 26.073,
|
| 2239 |
+
"eval_evol_v2_steps_per_second": 1.087,
|
| 2240 |
+
"step": 3000
|
| 2241 |
+
},
|
| 2242 |
+
{
|
| 2243 |
+
"epoch": 1.81,
|
| 2244 |
+
"eval_nlu_instruct_accuracy": 0.8185144938579312,
|
| 2245 |
+
"eval_nlu_instruct_loss": 0.6780356764793396,
|
| 2246 |
+
"eval_nlu_instruct_runtime": 3479.7549,
|
| 2247 |
+
"eval_nlu_instruct_samples_per_second": 22.422,
|
| 2248 |
+
"eval_nlu_instruct_steps_per_second": 0.934,
|
| 2249 |
+
"step": 3000
|
| 2250 |
+
},
|
| 2251 |
+
{
|
| 2252 |
+
"epoch": 1.81,
|
| 2253 |
+
"eval_grade_school_math_instructions_accuracy": 0.8272403358063256,
|
| 2254 |
+
"eval_grade_school_math_instructions_loss": 0.5888405442237854,
|
| 2255 |
+
"eval_grade_school_math_instructions_runtime": 12.6644,
|
| 2256 |
+
"eval_grade_school_math_instructions_samples_per_second": 34.743,
|
| 2257 |
+
"eval_grade_school_math_instructions_steps_per_second": 1.5,
|
| 2258 |
+
"step": 3000
|
| 2259 |
+
},
|
| 2260 |
+
{
|
| 2261 |
+
"epoch": 1.81,
|
| 2262 |
+
"eval_poem_instructions_accuracy": 0.5025932057398731,
|
| 2263 |
+
"eval_poem_instructions_loss": 2.6240994930267334,
|
| 2264 |
+
"eval_poem_instructions_runtime": 21.1971,
|
| 2265 |
+
"eval_poem_instructions_samples_per_second": 16.37,
|
| 2266 |
+
"eval_poem_instructions_steps_per_second": 0.708,
|
| 2267 |
+
"step": 3000
|
| 2268 |
+
},
|
| 2269 |
+
{
|
| 2270 |
+
"epoch": 1.81,
|
| 2271 |
+
"eval_gpt4all_accuracy": 0.7898066834593447,
|
| 2272 |
+
"eval_gpt4all_loss": 0.7626320719718933,
|
| 2273 |
+
"eval_gpt4all_runtime": 3567.7466,
|
| 2274 |
+
"eval_gpt4all_samples_per_second": 21.796,
|
| 2275 |
+
"eval_gpt4all_steps_per_second": 0.908,
|
| 2276 |
+
"step": 3000
|
| 2277 |
+
},
|
| 2278 |
+
{
|
| 2279 |
+
"epoch": 1.81,
|
| 2280 |
+
"eval_joke_accuracy": 0.5721456603084786,
|
| 2281 |
+
"eval_joke_loss": 1.7529810667037964,
|
| 2282 |
+
"eval_joke_runtime": 5.6117,
|
| 2283 |
+
"eval_joke_samples_per_second": 13.543,
|
| 2284 |
+
"eval_joke_steps_per_second": 0.713,
|
| 2285 |
+
"step": 3000
|
| 2286 |
+
},
|
| 2287 |
+
{
|
| 2288 |
+
"epoch": 1.81,
|
| 2289 |
+
"eval_gsm8k_accuracy": 0.8744156432656293,
|
| 2290 |
+
"eval_gsm8k_loss": 0.43758735060691833,
|
| 2291 |
+
"eval_gsm8k_runtime": 22.8872,
|
| 2292 |
+
"eval_gsm8k_samples_per_second": 57.63,
|
| 2293 |
+
"eval_gsm8k_steps_per_second": 2.403,
|
| 2294 |
+
"step": 3000
|
| 2295 |
+
}
|
| 2296 |
+
],
|
| 2297 |
+
"max_steps": 8280,
|
| 2298 |
+
"num_train_epochs": 5,
|
| 2299 |
+
"total_flos": 5346712829820928.0,
|
| 2300 |
+
"trial_name": null,
|
| 2301 |
+
"trial_params": null
|
| 2302 |
+
}
|