Farouk commited on
Commit
b662a94
·
1 Parent(s): 4f9d960

Training in progress, step 400

Browse files
adapter_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e563063a1288b85599c55ec8d3d83bf727b31079afc3bc16c532adeb414c38dc
3
  size 319977229
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:15dc3d4022189fb7f87c80c8a1361d8e582fea1ed0fa87bd56bcacd2aefee2ac
3
  size 319977229
checkpoint-200/adapter_model/adapter_model/README.md ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ ---
4
+ ## Training procedure
5
+
6
+
7
+ The following `bitsandbytes` quantization config was used during training:
8
+ - load_in_8bit: False
9
+ - load_in_4bit: True
10
+ - llm_int8_threshold: 6.0
11
+ - llm_int8_skip_modules: None
12
+ - llm_int8_enable_fp32_cpu_offload: False
13
+ - llm_int8_has_fp16_weight: False
14
+ - bnb_4bit_quant_type: nf4
15
+ - bnb_4bit_use_double_quant: True
16
+ - bnb_4bit_compute_dtype: bfloat16
17
+ ### Framework versions
18
+
19
+
20
+ - PEFT 0.4.0
checkpoint-200/adapter_model/adapter_model/adapter_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "auto_mapping": null,
3
+ "base_model_name_or_path": "NousResearch/Nous-Hermes-llama-2-7b",
4
+ "bias": "none",
5
+ "fan_in_fan_out": false,
6
+ "inference_mode": true,
7
+ "init_lora_weights": true,
8
+ "layers_pattern": null,
9
+ "layers_to_transform": null,
10
+ "lora_alpha": 16.0,
11
+ "lora_dropout": 0.4,
12
+ "modules_to_save": null,
13
+ "peft_type": "LORA",
14
+ "r": 64,
15
+ "revision": null,
16
+ "target_modules": [
17
+ "o_proj",
18
+ "k_proj",
19
+ "gate_proj",
20
+ "down_proj",
21
+ "q_proj",
22
+ "up_proj",
23
+ "v_proj"
24
+ ],
25
+ "task_type": "CAUSAL_LM"
26
+ }
checkpoint-200/adapter_model/adapter_model/adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e563063a1288b85599c55ec8d3d83bf727b31079afc3bc16c532adeb414c38dc
3
+ size 319977229
checkpoint-400/README.md ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ ---
4
+ ## Training procedure
5
+
6
+
7
+ The following `bitsandbytes` quantization config was used during training:
8
+ - load_in_8bit: False
9
+ - load_in_4bit: True
10
+ - llm_int8_threshold: 6.0
11
+ - llm_int8_skip_modules: None
12
+ - llm_int8_enable_fp32_cpu_offload: False
13
+ - llm_int8_has_fp16_weight: False
14
+ - bnb_4bit_quant_type: nf4
15
+ - bnb_4bit_use_double_quant: True
16
+ - bnb_4bit_compute_dtype: bfloat16
17
+ ### Framework versions
18
+
19
+
20
+ - PEFT 0.4.0
checkpoint-400/adapter_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "auto_mapping": null,
3
+ "base_model_name_or_path": "NousResearch/Nous-Hermes-llama-2-7b",
4
+ "bias": "none",
5
+ "fan_in_fan_out": false,
6
+ "inference_mode": true,
7
+ "init_lora_weights": true,
8
+ "layers_pattern": null,
9
+ "layers_to_transform": null,
10
+ "lora_alpha": 16.0,
11
+ "lora_dropout": 0.4,
12
+ "modules_to_save": null,
13
+ "peft_type": "LORA",
14
+ "r": 64,
15
+ "revision": null,
16
+ "target_modules": [
17
+ "o_proj",
18
+ "k_proj",
19
+ "gate_proj",
20
+ "down_proj",
21
+ "q_proj",
22
+ "up_proj",
23
+ "v_proj"
24
+ ],
25
+ "task_type": "CAUSAL_LM"
26
+ }
checkpoint-400/adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:15dc3d4022189fb7f87c80c8a1361d8e582fea1ed0fa87bd56bcacd2aefee2ac
3
+ size 319977229
checkpoint-400/added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "<pad>": 32000
3
+ }
checkpoint-400/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:97fd9a3ec844125051e565be8b1ad17da3a4b06736c41138a107b72dee639742
3
+ size 1279539973
checkpoint-400/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:24fddc2c30d019dd05bd27fb6c926cd43e328a579cf97bf3afc4059777a09a9c
3
+ size 14511
checkpoint-400/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d5ab0db41aab731a8992e04ead35b61fb406754f53e4b6a1b2f1fad1753d722a
3
+ size 627
checkpoint-400/special_tokens_map.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": "<s>",
3
+ "eos_token": "</s>",
4
+ "pad_token": "<unk>",
5
+ "unk_token": "<unk>"
6
+ }
checkpoint-400/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
checkpoint-400/tokenizer_config.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "bos_token": {
5
+ "__type": "AddedToken",
6
+ "content": "<s>",
7
+ "lstrip": false,
8
+ "normalized": true,
9
+ "rstrip": false,
10
+ "single_word": false
11
+ },
12
+ "clean_up_tokenization_spaces": false,
13
+ "eos_token": {
14
+ "__type": "AddedToken",
15
+ "content": "</s>",
16
+ "lstrip": false,
17
+ "normalized": true,
18
+ "rstrip": false,
19
+ "single_word": false
20
+ },
21
+ "legacy": false,
22
+ "model_max_length": 1000000000000000019884624838656,
23
+ "pad_token": null,
24
+ "padding_side": "right",
25
+ "sp_model_kwargs": {},
26
+ "tokenizer_class": "LlamaTokenizer",
27
+ "unk_token": {
28
+ "__type": "AddedToken",
29
+ "content": "<unk>",
30
+ "lstrip": false,
31
+ "normalized": true,
32
+ "rstrip": false,
33
+ "single_word": false
34
+ }
35
+ }
checkpoint-400/trainer_state.json ADDED
@@ -0,0 +1,2784 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.5233827829360962,
3
+ "best_model_checkpoint": "./output_v2/7b_cluster00_Nous-Hermes-llama-2-7b_codellama_blob_1/checkpoint-400",
4
+ "epoch": 1.1228070175438596,
5
+ "global_step": 400,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.0,
12
+ "learning_rate": 2e-06,
13
+ "loss": 0.7795,
14
+ "step": 1
15
+ },
16
+ {
17
+ "epoch": 0.01,
18
+ "learning_rate": 4e-06,
19
+ "loss": 0.6789,
20
+ "step": 2
21
+ },
22
+ {
23
+ "epoch": 0.01,
24
+ "learning_rate": 5.999999999999999e-06,
25
+ "loss": 0.6847,
26
+ "step": 3
27
+ },
28
+ {
29
+ "epoch": 0.01,
30
+ "learning_rate": 8e-06,
31
+ "loss": 0.6876,
32
+ "step": 4
33
+ },
34
+ {
35
+ "epoch": 0.01,
36
+ "learning_rate": 9.999999999999999e-06,
37
+ "loss": 0.5964,
38
+ "step": 5
39
+ },
40
+ {
41
+ "epoch": 0.02,
42
+ "learning_rate": 1.1999999999999999e-05,
43
+ "loss": 0.6592,
44
+ "step": 6
45
+ },
46
+ {
47
+ "epoch": 0.02,
48
+ "learning_rate": 1.4e-05,
49
+ "loss": 0.6261,
50
+ "step": 7
51
+ },
52
+ {
53
+ "epoch": 0.02,
54
+ "learning_rate": 1.6e-05,
55
+ "loss": 0.6892,
56
+ "step": 8
57
+ },
58
+ {
59
+ "epoch": 0.03,
60
+ "learning_rate": 1.7999999999999997e-05,
61
+ "loss": 0.538,
62
+ "step": 9
63
+ },
64
+ {
65
+ "epoch": 0.03,
66
+ "learning_rate": 1.9999999999999998e-05,
67
+ "loss": 0.6015,
68
+ "step": 10
69
+ },
70
+ {
71
+ "epoch": 0.03,
72
+ "learning_rate": 2.2e-05,
73
+ "loss": 0.7061,
74
+ "step": 11
75
+ },
76
+ {
77
+ "epoch": 0.03,
78
+ "learning_rate": 2.3999999999999997e-05,
79
+ "loss": 0.6329,
80
+ "step": 12
81
+ },
82
+ {
83
+ "epoch": 0.04,
84
+ "learning_rate": 2.6e-05,
85
+ "loss": 0.5633,
86
+ "step": 13
87
+ },
88
+ {
89
+ "epoch": 0.04,
90
+ "learning_rate": 2.8e-05,
91
+ "loss": 0.5499,
92
+ "step": 14
93
+ },
94
+ {
95
+ "epoch": 0.04,
96
+ "learning_rate": 2.9999999999999997e-05,
97
+ "loss": 0.5846,
98
+ "step": 15
99
+ },
100
+ {
101
+ "epoch": 0.04,
102
+ "learning_rate": 3.2e-05,
103
+ "loss": 0.7056,
104
+ "step": 16
105
+ },
106
+ {
107
+ "epoch": 0.05,
108
+ "learning_rate": 3.399999999999999e-05,
109
+ "loss": 0.9478,
110
+ "step": 17
111
+ },
112
+ {
113
+ "epoch": 0.05,
114
+ "learning_rate": 3.5999999999999994e-05,
115
+ "loss": 0.7119,
116
+ "step": 18
117
+ },
118
+ {
119
+ "epoch": 0.05,
120
+ "learning_rate": 3.8e-05,
121
+ "loss": 0.5115,
122
+ "step": 19
123
+ },
124
+ {
125
+ "epoch": 0.06,
126
+ "learning_rate": 3.9999999999999996e-05,
127
+ "loss": 0.6481,
128
+ "step": 20
129
+ },
130
+ {
131
+ "epoch": 0.06,
132
+ "learning_rate": 4.2e-05,
133
+ "loss": 1.0479,
134
+ "step": 21
135
+ },
136
+ {
137
+ "epoch": 0.06,
138
+ "learning_rate": 4.4e-05,
139
+ "loss": 0.9266,
140
+ "step": 22
141
+ },
142
+ {
143
+ "epoch": 0.06,
144
+ "learning_rate": 4.599999999999999e-05,
145
+ "loss": 0.7517,
146
+ "step": 23
147
+ },
148
+ {
149
+ "epoch": 0.07,
150
+ "learning_rate": 4.7999999999999994e-05,
151
+ "loss": 0.7024,
152
+ "step": 24
153
+ },
154
+ {
155
+ "epoch": 0.07,
156
+ "learning_rate": 4.9999999999999996e-05,
157
+ "loss": 0.6996,
158
+ "step": 25
159
+ },
160
+ {
161
+ "epoch": 0.07,
162
+ "eval_loss": 0.6741535663604736,
163
+ "eval_runtime": 26.372,
164
+ "eval_samples_per_second": 7.584,
165
+ "eval_steps_per_second": 1.896,
166
+ "step": 25
167
+ },
168
+ {
169
+ "dharma_eval_accuracy": 0.47090526975371527,
170
+ "dharma_eval_accuracy_ARC-Challenge": 0.6296296296296297,
171
+ "dharma_eval_accuracy_ARC-Easy": 0.7592592592592593,
172
+ "dharma_eval_accuracy_BoolQ": 0.7037037037037037,
173
+ "dharma_eval_accuracy_MMLU": 0.4444444444444444,
174
+ "dharma_eval_accuracy_agieval": 0.2542372881355932,
175
+ "dharma_eval_accuracy_bigbench": 0.4098360655737705,
176
+ "dharma_eval_accuracy_openbookqa": 0.2962962962962963,
177
+ "dharma_eval_accuracy_truthful_qa": 0.37037037037037035,
178
+ "dharma_eval_accuracy_winogrande": 0.37037037037037035,
179
+ "dharma_loss": 3.7834435443878176,
180
+ "epoch": 0.07,
181
+ "step": 25
182
+ },
183
+ {
184
+ "epoch": 0.07,
185
+ "learning_rate": 5.2e-05,
186
+ "loss": 0.6123,
187
+ "step": 26
188
+ },
189
+ {
190
+ "epoch": 0.08,
191
+ "learning_rate": 5.399999999999999e-05,
192
+ "loss": 0.608,
193
+ "step": 27
194
+ },
195
+ {
196
+ "epoch": 0.08,
197
+ "learning_rate": 5.6e-05,
198
+ "loss": 0.4845,
199
+ "step": 28
200
+ },
201
+ {
202
+ "epoch": 0.08,
203
+ "learning_rate": 5.7999999999999994e-05,
204
+ "loss": 0.6026,
205
+ "step": 29
206
+ },
207
+ {
208
+ "epoch": 0.08,
209
+ "learning_rate": 5.9999999999999995e-05,
210
+ "loss": 0.87,
211
+ "step": 30
212
+ },
213
+ {
214
+ "epoch": 0.09,
215
+ "learning_rate": 6.199999999999999e-05,
216
+ "loss": 0.9898,
217
+ "step": 31
218
+ },
219
+ {
220
+ "epoch": 0.09,
221
+ "learning_rate": 6.4e-05,
222
+ "loss": 0.7354,
223
+ "step": 32
224
+ },
225
+ {
226
+ "epoch": 0.09,
227
+ "learning_rate": 6.599999999999999e-05,
228
+ "loss": 0.5053,
229
+ "step": 33
230
+ },
231
+ {
232
+ "epoch": 0.1,
233
+ "learning_rate": 6.799999999999999e-05,
234
+ "loss": 0.6644,
235
+ "step": 34
236
+ },
237
+ {
238
+ "epoch": 0.1,
239
+ "learning_rate": 7e-05,
240
+ "loss": 0.6932,
241
+ "step": 35
242
+ },
243
+ {
244
+ "epoch": 0.1,
245
+ "learning_rate": 7.199999999999999e-05,
246
+ "loss": 0.7425,
247
+ "step": 36
248
+ },
249
+ {
250
+ "epoch": 0.1,
251
+ "learning_rate": 7.4e-05,
252
+ "loss": 0.8268,
253
+ "step": 37
254
+ },
255
+ {
256
+ "epoch": 0.11,
257
+ "learning_rate": 7.6e-05,
258
+ "loss": 0.5957,
259
+ "step": 38
260
+ },
261
+ {
262
+ "epoch": 0.11,
263
+ "learning_rate": 7.8e-05,
264
+ "loss": 0.5579,
265
+ "step": 39
266
+ },
267
+ {
268
+ "epoch": 0.11,
269
+ "learning_rate": 7.999999999999999e-05,
270
+ "loss": 0.7978,
271
+ "step": 40
272
+ },
273
+ {
274
+ "epoch": 0.12,
275
+ "learning_rate": 8.199999999999999e-05,
276
+ "loss": 0.8261,
277
+ "step": 41
278
+ },
279
+ {
280
+ "epoch": 0.12,
281
+ "learning_rate": 8.4e-05,
282
+ "loss": 0.7618,
283
+ "step": 42
284
+ },
285
+ {
286
+ "epoch": 0.12,
287
+ "learning_rate": 8.6e-05,
288
+ "loss": 0.6062,
289
+ "step": 43
290
+ },
291
+ {
292
+ "epoch": 0.12,
293
+ "learning_rate": 8.8e-05,
294
+ "loss": 0.5791,
295
+ "step": 44
296
+ },
297
+ {
298
+ "epoch": 0.13,
299
+ "learning_rate": 8.999999999999999e-05,
300
+ "loss": 0.6008,
301
+ "step": 45
302
+ },
303
+ {
304
+ "epoch": 0.13,
305
+ "learning_rate": 9.199999999999999e-05,
306
+ "loss": 0.5143,
307
+ "step": 46
308
+ },
309
+ {
310
+ "epoch": 0.13,
311
+ "learning_rate": 9.4e-05,
312
+ "loss": 0.5329,
313
+ "step": 47
314
+ },
315
+ {
316
+ "epoch": 0.13,
317
+ "learning_rate": 9.599999999999999e-05,
318
+ "loss": 0.6973,
319
+ "step": 48
320
+ },
321
+ {
322
+ "epoch": 0.14,
323
+ "learning_rate": 9.799999999999998e-05,
324
+ "loss": 0.615,
325
+ "step": 49
326
+ },
327
+ {
328
+ "epoch": 0.14,
329
+ "learning_rate": 9.999999999999999e-05,
330
+ "loss": 0.6362,
331
+ "step": 50
332
+ },
333
+ {
334
+ "epoch": 0.14,
335
+ "eval_loss": 0.6042094826698303,
336
+ "eval_runtime": 26.344,
337
+ "eval_samples_per_second": 7.592,
338
+ "eval_steps_per_second": 1.898,
339
+ "step": 50
340
+ },
341
+ {
342
+ "dharma_eval_accuracy": 0.4825425901342051,
343
+ "dharma_eval_accuracy_ARC-Challenge": 0.6666666666666666,
344
+ "dharma_eval_accuracy_ARC-Easy": 0.6851851851851852,
345
+ "dharma_eval_accuracy_BoolQ": 0.7037037037037037,
346
+ "dharma_eval_accuracy_MMLU": 0.42592592592592593,
347
+ "dharma_eval_accuracy_agieval": 0.2542372881355932,
348
+ "dharma_eval_accuracy_bigbench": 0.45901639344262296,
349
+ "dharma_eval_accuracy_openbookqa": 0.3333333333333333,
350
+ "dharma_eval_accuracy_truthful_qa": 0.35185185185185186,
351
+ "dharma_eval_accuracy_winogrande": 0.46296296296296297,
352
+ "dharma_loss": 2.1548793907165527,
353
+ "epoch": 0.14,
354
+ "step": 50
355
+ },
356
+ {
357
+ "epoch": 0.14,
358
+ "learning_rate": 0.000102,
359
+ "loss": 0.6567,
360
+ "step": 51
361
+ },
362
+ {
363
+ "epoch": 0.15,
364
+ "learning_rate": 0.000104,
365
+ "loss": 0.9786,
366
+ "step": 52
367
+ },
368
+ {
369
+ "epoch": 0.15,
370
+ "learning_rate": 0.00010599999999999999,
371
+ "loss": 0.6146,
372
+ "step": 53
373
+ },
374
+ {
375
+ "epoch": 0.15,
376
+ "learning_rate": 0.00010799999999999998,
377
+ "loss": 0.6402,
378
+ "step": 54
379
+ },
380
+ {
381
+ "epoch": 0.15,
382
+ "learning_rate": 0.00010999999999999998,
383
+ "loss": 0.5906,
384
+ "step": 55
385
+ },
386
+ {
387
+ "epoch": 0.16,
388
+ "learning_rate": 0.000112,
389
+ "loss": 0.6441,
390
+ "step": 56
391
+ },
392
+ {
393
+ "epoch": 0.16,
394
+ "learning_rate": 0.00011399999999999999,
395
+ "loss": 0.6887,
396
+ "step": 57
397
+ },
398
+ {
399
+ "epoch": 0.16,
400
+ "learning_rate": 0.00011599999999999999,
401
+ "loss": 0.6283,
402
+ "step": 58
403
+ },
404
+ {
405
+ "epoch": 0.17,
406
+ "learning_rate": 0.00011799999999999998,
407
+ "loss": 0.5929,
408
+ "step": 59
409
+ },
410
+ {
411
+ "epoch": 0.17,
412
+ "learning_rate": 0.00011999999999999999,
413
+ "loss": 0.6939,
414
+ "step": 60
415
+ },
416
+ {
417
+ "epoch": 0.17,
418
+ "learning_rate": 0.000122,
419
+ "loss": 0.5535,
420
+ "step": 61
421
+ },
422
+ {
423
+ "epoch": 0.17,
424
+ "learning_rate": 0.00012399999999999998,
425
+ "loss": 0.5457,
426
+ "step": 62
427
+ },
428
+ {
429
+ "epoch": 0.18,
430
+ "learning_rate": 0.00012599999999999997,
431
+ "loss": 0.6425,
432
+ "step": 63
433
+ },
434
+ {
435
+ "epoch": 0.18,
436
+ "learning_rate": 0.000128,
437
+ "loss": 0.6855,
438
+ "step": 64
439
+ },
440
+ {
441
+ "epoch": 0.18,
442
+ "learning_rate": 0.00013,
443
+ "loss": 0.5396,
444
+ "step": 65
445
+ },
446
+ {
447
+ "epoch": 0.19,
448
+ "learning_rate": 0.00013199999999999998,
449
+ "loss": 0.6307,
450
+ "step": 66
451
+ },
452
+ {
453
+ "epoch": 0.19,
454
+ "learning_rate": 0.00013399999999999998,
455
+ "loss": 0.6396,
456
+ "step": 67
457
+ },
458
+ {
459
+ "epoch": 0.19,
460
+ "learning_rate": 0.00013599999999999997,
461
+ "loss": 0.5727,
462
+ "step": 68
463
+ },
464
+ {
465
+ "epoch": 0.19,
466
+ "learning_rate": 0.000138,
467
+ "loss": 0.4812,
468
+ "step": 69
469
+ },
470
+ {
471
+ "epoch": 0.2,
472
+ "learning_rate": 0.00014,
473
+ "loss": 0.5658,
474
+ "step": 70
475
+ },
476
+ {
477
+ "epoch": 0.2,
478
+ "learning_rate": 0.00014199999999999998,
479
+ "loss": 0.6314,
480
+ "step": 71
481
+ },
482
+ {
483
+ "epoch": 0.2,
484
+ "learning_rate": 0.00014399999999999998,
485
+ "loss": 0.6175,
486
+ "step": 72
487
+ },
488
+ {
489
+ "epoch": 0.2,
490
+ "learning_rate": 0.000146,
491
+ "loss": 0.5468,
492
+ "step": 73
493
+ },
494
+ {
495
+ "epoch": 0.21,
496
+ "learning_rate": 0.000148,
497
+ "loss": 0.6233,
498
+ "step": 74
499
+ },
500
+ {
501
+ "epoch": 0.21,
502
+ "learning_rate": 0.00015,
503
+ "loss": 0.5276,
504
+ "step": 75
505
+ },
506
+ {
507
+ "epoch": 0.21,
508
+ "eval_loss": 0.5642657279968262,
509
+ "eval_runtime": 26.2701,
510
+ "eval_samples_per_second": 7.613,
511
+ "eval_steps_per_second": 1.903,
512
+ "step": 75
513
+ },
514
+ {
515
+ "dharma_eval_accuracy": 0.45038002097061713,
516
+ "dharma_eval_accuracy_ARC-Challenge": 0.6111111111111112,
517
+ "dharma_eval_accuracy_ARC-Easy": 0.6111111111111112,
518
+ "dharma_eval_accuracy_BoolQ": 0.7037037037037037,
519
+ "dharma_eval_accuracy_MMLU": 0.42592592592592593,
520
+ "dharma_eval_accuracy_agieval": 0.2033898305084746,
521
+ "dharma_eval_accuracy_bigbench": 0.4426229508196721,
522
+ "dharma_eval_accuracy_openbookqa": 0.14814814814814814,
523
+ "dharma_eval_accuracy_truthful_qa": 0.42592592592592593,
524
+ "dharma_eval_accuracy_winogrande": 0.48148148148148145,
525
+ "dharma_loss": 2.056876979827881,
526
+ "epoch": 0.21,
527
+ "step": 75
528
+ },
529
+ {
530
+ "epoch": 0.21,
531
+ "learning_rate": 0.000152,
532
+ "loss": 0.5308,
533
+ "step": 76
534
+ },
535
+ {
536
+ "epoch": 0.22,
537
+ "learning_rate": 0.00015399999999999998,
538
+ "loss": 0.6546,
539
+ "step": 77
540
+ },
541
+ {
542
+ "epoch": 0.22,
543
+ "learning_rate": 0.000156,
544
+ "loss": 0.6451,
545
+ "step": 78
546
+ },
547
+ {
548
+ "epoch": 0.22,
549
+ "learning_rate": 0.00015799999999999996,
550
+ "loss": 0.5255,
551
+ "step": 79
552
+ },
553
+ {
554
+ "epoch": 0.22,
555
+ "learning_rate": 0.00015999999999999999,
556
+ "loss": 0.5629,
557
+ "step": 80
558
+ },
559
+ {
560
+ "epoch": 0.23,
561
+ "learning_rate": 0.000162,
562
+ "loss": 0.6642,
563
+ "step": 81
564
+ },
565
+ {
566
+ "epoch": 0.23,
567
+ "learning_rate": 0.00016399999999999997,
568
+ "loss": 0.6393,
569
+ "step": 82
570
+ },
571
+ {
572
+ "epoch": 0.23,
573
+ "learning_rate": 0.000166,
574
+ "loss": 0.5073,
575
+ "step": 83
576
+ },
577
+ {
578
+ "epoch": 0.24,
579
+ "learning_rate": 0.000168,
580
+ "loss": 0.5628,
581
+ "step": 84
582
+ },
583
+ {
584
+ "epoch": 0.24,
585
+ "learning_rate": 0.00016999999999999999,
586
+ "loss": 0.5566,
587
+ "step": 85
588
+ },
589
+ {
590
+ "epoch": 0.24,
591
+ "learning_rate": 0.000172,
592
+ "loss": 0.4653,
593
+ "step": 86
594
+ },
595
+ {
596
+ "epoch": 0.24,
597
+ "learning_rate": 0.00017399999999999997,
598
+ "loss": 0.5322,
599
+ "step": 87
600
+ },
601
+ {
602
+ "epoch": 0.25,
603
+ "learning_rate": 0.000176,
604
+ "loss": 0.7131,
605
+ "step": 88
606
+ },
607
+ {
608
+ "epoch": 0.25,
609
+ "learning_rate": 0.000178,
610
+ "loss": 0.5586,
611
+ "step": 89
612
+ },
613
+ {
614
+ "epoch": 0.25,
615
+ "learning_rate": 0.00017999999999999998,
616
+ "loss": 0.7246,
617
+ "step": 90
618
+ },
619
+ {
620
+ "epoch": 0.26,
621
+ "learning_rate": 0.00018199999999999998,
622
+ "loss": 0.6527,
623
+ "step": 91
624
+ },
625
+ {
626
+ "epoch": 0.26,
627
+ "learning_rate": 0.00018399999999999997,
628
+ "loss": 0.8067,
629
+ "step": 92
630
+ },
631
+ {
632
+ "epoch": 0.26,
633
+ "learning_rate": 0.000186,
634
+ "loss": 0.6427,
635
+ "step": 93
636
+ },
637
+ {
638
+ "epoch": 0.26,
639
+ "learning_rate": 0.000188,
640
+ "loss": 0.6309,
641
+ "step": 94
642
+ },
643
+ {
644
+ "epoch": 0.27,
645
+ "learning_rate": 0.00018999999999999998,
646
+ "loss": 0.6111,
647
+ "step": 95
648
+ },
649
+ {
650
+ "epoch": 0.27,
651
+ "learning_rate": 0.00019199999999999998,
652
+ "loss": 0.5911,
653
+ "step": 96
654
+ },
655
+ {
656
+ "epoch": 0.27,
657
+ "learning_rate": 0.00019399999999999997,
658
+ "loss": 0.6372,
659
+ "step": 97
660
+ },
661
+ {
662
+ "epoch": 0.28,
663
+ "learning_rate": 0.00019599999999999997,
664
+ "loss": 0.5664,
665
+ "step": 98
666
+ },
667
+ {
668
+ "epoch": 0.28,
669
+ "learning_rate": 0.000198,
670
+ "loss": 0.5618,
671
+ "step": 99
672
+ },
673
+ {
674
+ "epoch": 0.28,
675
+ "learning_rate": 0.00019999999999999998,
676
+ "loss": 0.7154,
677
+ "step": 100
678
+ },
679
+ {
680
+ "epoch": 0.28,
681
+ "eval_loss": 0.5470997095108032,
682
+ "eval_runtime": 26.3144,
683
+ "eval_samples_per_second": 7.6,
684
+ "eval_steps_per_second": 1.9,
685
+ "step": 100
686
+ },
687
+ {
688
+ "dharma_eval_accuracy": 0.398478315307064,
689
+ "dharma_eval_accuracy_ARC-Challenge": 0.5740740740740741,
690
+ "dharma_eval_accuracy_ARC-Easy": 0.48148148148148145,
691
+ "dharma_eval_accuracy_BoolQ": 0.7037037037037037,
692
+ "dharma_eval_accuracy_MMLU": 0.4074074074074074,
693
+ "dharma_eval_accuracy_agieval": 0.2711864406779661,
694
+ "dharma_eval_accuracy_bigbench": 0.4262295081967213,
695
+ "dharma_eval_accuracy_openbookqa": 0.07407407407407407,
696
+ "dharma_eval_accuracy_truthful_qa": 0.3888888888888889,
697
+ "dharma_eval_accuracy_winogrande": 0.25925925925925924,
698
+ "dharma_loss": 2.5759267053604127,
699
+ "epoch": 0.28,
700
+ "step": 100
701
+ },
702
+ {
703
+ "epoch": 0.28,
704
+ "learning_rate": 0.00020199999999999998,
705
+ "loss": 0.5837,
706
+ "step": 101
707
+ },
708
+ {
709
+ "epoch": 0.29,
710
+ "learning_rate": 0.000204,
711
+ "loss": 0.5707,
712
+ "step": 102
713
+ },
714
+ {
715
+ "epoch": 0.29,
716
+ "learning_rate": 0.00020599999999999997,
717
+ "loss": 0.7798,
718
+ "step": 103
719
+ },
720
+ {
721
+ "epoch": 0.29,
722
+ "learning_rate": 0.000208,
723
+ "loss": 0.4922,
724
+ "step": 104
725
+ },
726
+ {
727
+ "epoch": 0.29,
728
+ "learning_rate": 0.00020999999999999998,
729
+ "loss": 0.7033,
730
+ "step": 105
731
+ },
732
+ {
733
+ "epoch": 0.3,
734
+ "learning_rate": 0.00021199999999999998,
735
+ "loss": 0.7297,
736
+ "step": 106
737
+ },
738
+ {
739
+ "epoch": 0.3,
740
+ "learning_rate": 0.000214,
741
+ "loss": 0.5376,
742
+ "step": 107
743
+ },
744
+ {
745
+ "epoch": 0.3,
746
+ "learning_rate": 0.00021599999999999996,
747
+ "loss": 0.5372,
748
+ "step": 108
749
+ },
750
+ {
751
+ "epoch": 0.31,
752
+ "learning_rate": 0.00021799999999999999,
753
+ "loss": 0.7453,
754
+ "step": 109
755
+ },
756
+ {
757
+ "epoch": 0.31,
758
+ "learning_rate": 0.00021999999999999995,
759
+ "loss": 0.4582,
760
+ "step": 110
761
+ },
762
+ {
763
+ "epoch": 0.31,
764
+ "learning_rate": 0.00022199999999999998,
765
+ "loss": 0.54,
766
+ "step": 111
767
+ },
768
+ {
769
+ "epoch": 0.31,
770
+ "learning_rate": 0.000224,
771
+ "loss": 0.643,
772
+ "step": 112
773
+ },
774
+ {
775
+ "epoch": 0.32,
776
+ "learning_rate": 0.00022599999999999996,
777
+ "loss": 0.5972,
778
+ "step": 113
779
+ },
780
+ {
781
+ "epoch": 0.32,
782
+ "learning_rate": 0.00022799999999999999,
783
+ "loss": 0.5765,
784
+ "step": 114
785
+ },
786
+ {
787
+ "epoch": 0.32,
788
+ "learning_rate": 0.00023,
789
+ "loss": 0.6007,
790
+ "step": 115
791
+ },
792
+ {
793
+ "epoch": 0.33,
794
+ "learning_rate": 0.00023199999999999997,
795
+ "loss": 0.5343,
796
+ "step": 116
797
+ },
798
+ {
799
+ "epoch": 0.33,
800
+ "learning_rate": 0.000234,
801
+ "loss": 0.8235,
802
+ "step": 117
803
+ },
804
+ {
805
+ "epoch": 0.33,
806
+ "learning_rate": 0.00023599999999999996,
807
+ "loss": 0.6687,
808
+ "step": 118
809
+ },
810
+ {
811
+ "epoch": 0.33,
812
+ "learning_rate": 0.00023799999999999998,
813
+ "loss": 0.6696,
814
+ "step": 119
815
+ },
816
+ {
817
+ "epoch": 0.34,
818
+ "learning_rate": 0.00023999999999999998,
819
+ "loss": 0.77,
820
+ "step": 120
821
+ },
822
+ {
823
+ "epoch": 0.34,
824
+ "learning_rate": 0.00024199999999999997,
825
+ "loss": 0.5792,
826
+ "step": 121
827
+ },
828
+ {
829
+ "epoch": 0.34,
830
+ "learning_rate": 0.000244,
831
+ "loss": 0.3653,
832
+ "step": 122
833
+ },
834
+ {
835
+ "epoch": 0.35,
836
+ "learning_rate": 0.00024599999999999996,
837
+ "loss": 0.5344,
838
+ "step": 123
839
+ },
840
+ {
841
+ "epoch": 0.35,
842
+ "learning_rate": 0.00024799999999999996,
843
+ "loss": 0.5772,
844
+ "step": 124
845
+ },
846
+ {
847
+ "epoch": 0.35,
848
+ "learning_rate": 0.00025,
849
+ "loss": 0.7189,
850
+ "step": 125
851
+ },
852
+ {
853
+ "epoch": 0.35,
854
+ "eval_loss": 0.5514405369758606,
855
+ "eval_runtime": 26.3447,
856
+ "eval_samples_per_second": 7.592,
857
+ "eval_steps_per_second": 1.898,
858
+ "step": 125
859
+ },
860
+ {
861
+ "dharma_eval_accuracy": 0.3371043854202756,
862
+ "dharma_eval_accuracy_ARC-Challenge": 0.37037037037037035,
863
+ "dharma_eval_accuracy_ARC-Easy": 0.42592592592592593,
864
+ "dharma_eval_accuracy_BoolQ": 0.37037037037037035,
865
+ "dharma_eval_accuracy_MMLU": 0.35185185185185186,
866
+ "dharma_eval_accuracy_agieval": 0.22033898305084745,
867
+ "dharma_eval_accuracy_bigbench": 0.29508196721311475,
868
+ "dharma_eval_accuracy_openbookqa": 0.18518518518518517,
869
+ "dharma_eval_accuracy_truthful_qa": 0.3888888888888889,
870
+ "dharma_eval_accuracy_winogrande": 0.42592592592592593,
871
+ "dharma_loss": 2.1871530780792234,
872
+ "epoch": 0.35,
873
+ "step": 125
874
+ },
875
+ {
876
+ "epoch": 0.35,
877
+ "learning_rate": 0.00025199999999999995,
878
+ "loss": 0.5891,
879
+ "step": 126
880
+ },
881
+ {
882
+ "epoch": 0.36,
883
+ "learning_rate": 0.000254,
884
+ "loss": 0.8225,
885
+ "step": 127
886
+ },
887
+ {
888
+ "epoch": 0.36,
889
+ "learning_rate": 0.000256,
890
+ "loss": 0.6104,
891
+ "step": 128
892
+ },
893
+ {
894
+ "epoch": 0.36,
895
+ "learning_rate": 0.000258,
896
+ "loss": 0.6571,
897
+ "step": 129
898
+ },
899
+ {
900
+ "epoch": 0.36,
901
+ "learning_rate": 0.00026,
902
+ "loss": 0.7562,
903
+ "step": 130
904
+ },
905
+ {
906
+ "epoch": 0.37,
907
+ "learning_rate": 0.00026199999999999997,
908
+ "loss": 0.7172,
909
+ "step": 131
910
+ },
911
+ {
912
+ "epoch": 0.37,
913
+ "learning_rate": 0.00026399999999999997,
914
+ "loss": 0.4353,
915
+ "step": 132
916
+ },
917
+ {
918
+ "epoch": 0.37,
919
+ "learning_rate": 0.000266,
920
+ "loss": 0.5576,
921
+ "step": 133
922
+ },
923
+ {
924
+ "epoch": 0.38,
925
+ "learning_rate": 0.00026799999999999995,
926
+ "loss": 0.553,
927
+ "step": 134
928
+ },
929
+ {
930
+ "epoch": 0.38,
931
+ "learning_rate": 0.00027,
932
+ "loss": 0.5062,
933
+ "step": 135
934
+ },
935
+ {
936
+ "epoch": 0.38,
937
+ "learning_rate": 0.00027199999999999994,
938
+ "loss": 0.4819,
939
+ "step": 136
940
+ },
941
+ {
942
+ "epoch": 0.38,
943
+ "learning_rate": 0.000274,
944
+ "loss": 0.6195,
945
+ "step": 137
946
+ },
947
+ {
948
+ "epoch": 0.39,
949
+ "learning_rate": 0.000276,
950
+ "loss": 0.7592,
951
+ "step": 138
952
+ },
953
+ {
954
+ "epoch": 0.39,
955
+ "learning_rate": 0.000278,
956
+ "loss": 0.6118,
957
+ "step": 139
958
+ },
959
+ {
960
+ "epoch": 0.39,
961
+ "learning_rate": 0.00028,
962
+ "loss": 0.7897,
963
+ "step": 140
964
+ },
965
+ {
966
+ "epoch": 0.4,
967
+ "learning_rate": 0.00028199999999999997,
968
+ "loss": 0.5879,
969
+ "step": 141
970
+ },
971
+ {
972
+ "epoch": 0.4,
973
+ "learning_rate": 0.00028399999999999996,
974
+ "loss": 0.6055,
975
+ "step": 142
976
+ },
977
+ {
978
+ "epoch": 0.4,
979
+ "learning_rate": 0.00028599999999999996,
980
+ "loss": 0.541,
981
+ "step": 143
982
+ },
983
+ {
984
+ "epoch": 0.4,
985
+ "learning_rate": 0.00028799999999999995,
986
+ "loss": 0.7665,
987
+ "step": 144
988
+ },
989
+ {
990
+ "epoch": 0.41,
991
+ "learning_rate": 0.00029,
992
+ "loss": 0.612,
993
+ "step": 145
994
+ },
995
+ {
996
+ "epoch": 0.41,
997
+ "learning_rate": 0.000292,
998
+ "loss": 0.5397,
999
+ "step": 146
1000
+ },
1001
+ {
1002
+ "epoch": 0.41,
1003
+ "learning_rate": 0.000294,
1004
+ "loss": 0.5727,
1005
+ "step": 147
1006
+ },
1007
+ {
1008
+ "epoch": 0.42,
1009
+ "learning_rate": 0.000296,
1010
+ "loss": 1.1184,
1011
+ "step": 148
1012
+ },
1013
+ {
1014
+ "epoch": 0.42,
1015
+ "learning_rate": 0.000298,
1016
+ "loss": 0.5912,
1017
+ "step": 149
1018
+ },
1019
+ {
1020
+ "epoch": 0.42,
1021
+ "learning_rate": 0.0003,
1022
+ "loss": 0.5581,
1023
+ "step": 150
1024
+ },
1025
+ {
1026
+ "epoch": 0.42,
1027
+ "eval_loss": 0.5423073768615723,
1028
+ "eval_runtime": 26.3108,
1029
+ "eval_samples_per_second": 7.601,
1030
+ "eval_steps_per_second": 1.9,
1031
+ "step": 150
1032
+ },
1033
+ {
1034
+ "dharma_eval_accuracy": 0.3860708907481159,
1035
+ "dharma_eval_accuracy_ARC-Challenge": 0.42592592592592593,
1036
+ "dharma_eval_accuracy_ARC-Easy": 0.4444444444444444,
1037
+ "dharma_eval_accuracy_BoolQ": 0.7037037037037037,
1038
+ "dharma_eval_accuracy_MMLU": 0.37037037037037035,
1039
+ "dharma_eval_accuracy_agieval": 0.2542372881355932,
1040
+ "dharma_eval_accuracy_bigbench": 0.4426229508196721,
1041
+ "dharma_eval_accuracy_openbookqa": 0.18518518518518517,
1042
+ "dharma_eval_accuracy_truthful_qa": 0.2962962962962963,
1043
+ "dharma_eval_accuracy_winogrande": 0.35185185185185186,
1044
+ "dharma_loss": 2.471666145801544,
1045
+ "epoch": 0.42,
1046
+ "step": 150
1047
+ },
1048
+ {
1049
+ "epoch": 0.42,
1050
+ "learning_rate": 0.0002999999685313931,
1051
+ "loss": 0.656,
1052
+ "step": 151
1053
+ },
1054
+ {
1055
+ "epoch": 0.43,
1056
+ "learning_rate": 0.00029999987412558584,
1057
+ "loss": 0.5075,
1058
+ "step": 152
1059
+ },
1060
+ {
1061
+ "epoch": 0.43,
1062
+ "learning_rate": 0.0002999997167826177,
1063
+ "loss": 0.4696,
1064
+ "step": 153
1065
+ },
1066
+ {
1067
+ "epoch": 0.43,
1068
+ "learning_rate": 0.00029999949650255474,
1069
+ "loss": 0.7349,
1070
+ "step": 154
1071
+ },
1072
+ {
1073
+ "epoch": 0.44,
1074
+ "learning_rate": 0.0002999992132854894,
1075
+ "loss": 0.5935,
1076
+ "step": 155
1077
+ },
1078
+ {
1079
+ "epoch": 0.44,
1080
+ "learning_rate": 0.0002999988671315404,
1081
+ "loss": 0.4127,
1082
+ "step": 156
1083
+ },
1084
+ {
1085
+ "epoch": 0.44,
1086
+ "learning_rate": 0.0002999984580408531,
1087
+ "loss": 0.5503,
1088
+ "step": 157
1089
+ },
1090
+ {
1091
+ "epoch": 0.44,
1092
+ "learning_rate": 0.00029999798601359915,
1093
+ "loss": 0.5742,
1094
+ "step": 158
1095
+ },
1096
+ {
1097
+ "epoch": 0.45,
1098
+ "learning_rate": 0.00029999745104997654,
1099
+ "loss": 0.5606,
1100
+ "step": 159
1101
+ },
1102
+ {
1103
+ "epoch": 0.45,
1104
+ "learning_rate": 0.0002999968531502098,
1105
+ "loss": 0.6209,
1106
+ "step": 160
1107
+ },
1108
+ {
1109
+ "epoch": 0.45,
1110
+ "learning_rate": 0.0002999961923145497,
1111
+ "loss": 0.4977,
1112
+ "step": 161
1113
+ },
1114
+ {
1115
+ "epoch": 0.45,
1116
+ "learning_rate": 0.0002999954685432736,
1117
+ "loss": 0.7474,
1118
+ "step": 162
1119
+ },
1120
+ {
1121
+ "epoch": 0.46,
1122
+ "learning_rate": 0.0002999946818366852,
1123
+ "loss": 0.574,
1124
+ "step": 163
1125
+ },
1126
+ {
1127
+ "epoch": 0.46,
1128
+ "learning_rate": 0.00029999383219511444,
1129
+ "loss": 0.3991,
1130
+ "step": 164
1131
+ },
1132
+ {
1133
+ "epoch": 0.46,
1134
+ "learning_rate": 0.0002999929196189179,
1135
+ "loss": 0.6335,
1136
+ "step": 165
1137
+ },
1138
+ {
1139
+ "epoch": 0.47,
1140
+ "learning_rate": 0.0002999919441084786,
1141
+ "loss": 0.6144,
1142
+ "step": 166
1143
+ },
1144
+ {
1145
+ "epoch": 0.47,
1146
+ "learning_rate": 0.0002999909056642057,
1147
+ "loss": 0.4695,
1148
+ "step": 167
1149
+ },
1150
+ {
1151
+ "epoch": 0.47,
1152
+ "learning_rate": 0.00029998980428653496,
1153
+ "loss": 0.5322,
1154
+ "step": 168
1155
+ },
1156
+ {
1157
+ "epoch": 0.47,
1158
+ "learning_rate": 0.00029998863997592843,
1159
+ "loss": 0.6111,
1160
+ "step": 169
1161
+ },
1162
+ {
1163
+ "epoch": 0.48,
1164
+ "learning_rate": 0.00029998741273287477,
1165
+ "loss": 0.5517,
1166
+ "step": 170
1167
+ },
1168
+ {
1169
+ "epoch": 0.48,
1170
+ "learning_rate": 0.0002999861225578888,
1171
+ "loss": 0.5407,
1172
+ "step": 171
1173
+ },
1174
+ {
1175
+ "epoch": 0.48,
1176
+ "learning_rate": 0.00029998476945151183,
1177
+ "loss": 0.4942,
1178
+ "step": 172
1179
+ },
1180
+ {
1181
+ "epoch": 0.49,
1182
+ "learning_rate": 0.00029998335341431174,
1183
+ "loss": 0.4563,
1184
+ "step": 173
1185
+ },
1186
+ {
1187
+ "epoch": 0.49,
1188
+ "learning_rate": 0.0002999818744468825,
1189
+ "loss": 0.4406,
1190
+ "step": 174
1191
+ },
1192
+ {
1193
+ "epoch": 0.49,
1194
+ "learning_rate": 0.0002999803325498448,
1195
+ "loss": 0.5319,
1196
+ "step": 175
1197
+ },
1198
+ {
1199
+ "epoch": 0.49,
1200
+ "eval_loss": 0.5312690734863281,
1201
+ "eval_runtime": 26.3302,
1202
+ "eval_samples_per_second": 7.596,
1203
+ "eval_steps_per_second": 1.899,
1204
+ "step": 175
1205
+ },
1206
+ {
1207
+ "dharma_eval_accuracy": 0.40200352864364475,
1208
+ "dharma_eval_accuracy_ARC-Challenge": 0.42592592592592593,
1209
+ "dharma_eval_accuracy_ARC-Easy": 0.5,
1210
+ "dharma_eval_accuracy_BoolQ": 0.7592592592592593,
1211
+ "dharma_eval_accuracy_MMLU": 0.4074074074074074,
1212
+ "dharma_eval_accuracy_agieval": 0.22033898305084745,
1213
+ "dharma_eval_accuracy_bigbench": 0.36065573770491804,
1214
+ "dharma_eval_accuracy_openbookqa": 0.2222222222222222,
1215
+ "dharma_eval_accuracy_truthful_qa": 0.2962962962962963,
1216
+ "dharma_eval_accuracy_winogrande": 0.42592592592592593,
1217
+ "dharma_loss": 2.2439456572532652,
1218
+ "epoch": 0.49,
1219
+ "step": 175
1220
+ },
1221
+ {
1222
+ "epoch": 0.49,
1223
+ "learning_rate": 0.0002999787277238455,
1224
+ "loss": 0.7389,
1225
+ "step": 176
1226
+ },
1227
+ {
1228
+ "epoch": 0.5,
1229
+ "learning_rate": 0.000299977059969558,
1230
+ "loss": 0.6848,
1231
+ "step": 177
1232
+ },
1233
+ {
1234
+ "epoch": 0.5,
1235
+ "learning_rate": 0.00029997532928768204,
1236
+ "loss": 0.5144,
1237
+ "step": 178
1238
+ },
1239
+ {
1240
+ "epoch": 0.5,
1241
+ "learning_rate": 0.00029997353567894384,
1242
+ "loss": 0.5707,
1243
+ "step": 179
1244
+ },
1245
+ {
1246
+ "epoch": 0.51,
1247
+ "learning_rate": 0.0002999716791440959,
1248
+ "loss": 0.668,
1249
+ "step": 180
1250
+ },
1251
+ {
1252
+ "epoch": 0.51,
1253
+ "learning_rate": 0.00029996975968391715,
1254
+ "loss": 0.4851,
1255
+ "step": 181
1256
+ },
1257
+ {
1258
+ "epoch": 0.51,
1259
+ "learning_rate": 0.000299967777299213,
1260
+ "loss": 0.725,
1261
+ "step": 182
1262
+ },
1263
+ {
1264
+ "epoch": 0.51,
1265
+ "learning_rate": 0.0002999657319908153,
1266
+ "loss": 0.6281,
1267
+ "step": 183
1268
+ },
1269
+ {
1270
+ "epoch": 0.52,
1271
+ "learning_rate": 0.0002999636237595821,
1272
+ "loss": 0.6357,
1273
+ "step": 184
1274
+ },
1275
+ {
1276
+ "epoch": 0.52,
1277
+ "learning_rate": 0.00029996145260639806,
1278
+ "loss": 0.5517,
1279
+ "step": 185
1280
+ },
1281
+ {
1282
+ "epoch": 0.52,
1283
+ "learning_rate": 0.0002999592185321741,
1284
+ "loss": 0.6792,
1285
+ "step": 186
1286
+ },
1287
+ {
1288
+ "epoch": 0.52,
1289
+ "learning_rate": 0.0002999569215378477,
1290
+ "loss": 0.619,
1291
+ "step": 187
1292
+ },
1293
+ {
1294
+ "epoch": 0.53,
1295
+ "learning_rate": 0.0002999545616243825,
1296
+ "loss": 0.5693,
1297
+ "step": 188
1298
+ },
1299
+ {
1300
+ "epoch": 0.53,
1301
+ "learning_rate": 0.00029995213879276876,
1302
+ "loss": 0.5759,
1303
+ "step": 189
1304
+ },
1305
+ {
1306
+ "epoch": 0.53,
1307
+ "learning_rate": 0.000299949653044023,
1308
+ "loss": 0.4382,
1309
+ "step": 190
1310
+ },
1311
+ {
1312
+ "epoch": 0.54,
1313
+ "learning_rate": 0.00029994710437918824,
1314
+ "loss": 0.7183,
1315
+ "step": 191
1316
+ },
1317
+ {
1318
+ "epoch": 0.54,
1319
+ "learning_rate": 0.0002999444927993338,
1320
+ "loss": 0.7328,
1321
+ "step": 192
1322
+ },
1323
+ {
1324
+ "epoch": 0.54,
1325
+ "learning_rate": 0.00029994181830555555,
1326
+ "loss": 0.645,
1327
+ "step": 193
1328
+ },
1329
+ {
1330
+ "epoch": 0.54,
1331
+ "learning_rate": 0.00029993908089897555,
1332
+ "loss": 0.5784,
1333
+ "step": 194
1334
+ },
1335
+ {
1336
+ "epoch": 0.55,
1337
+ "learning_rate": 0.00029993628058074245,
1338
+ "loss": 0.4547,
1339
+ "step": 195
1340
+ },
1341
+ {
1342
+ "epoch": 0.55,
1343
+ "learning_rate": 0.00029993341735203114,
1344
+ "loss": 0.5243,
1345
+ "step": 196
1346
+ },
1347
+ {
1348
+ "epoch": 0.55,
1349
+ "learning_rate": 0.00029993049121404303,
1350
+ "loss": 0.5059,
1351
+ "step": 197
1352
+ },
1353
+ {
1354
+ "epoch": 0.56,
1355
+ "learning_rate": 0.0002999275021680058,
1356
+ "loss": 0.6225,
1357
+ "step": 198
1358
+ },
1359
+ {
1360
+ "epoch": 0.56,
1361
+ "learning_rate": 0.0002999244502151737,
1362
+ "loss": 0.5956,
1363
+ "step": 199
1364
+ },
1365
+ {
1366
+ "epoch": 0.56,
1367
+ "learning_rate": 0.00029992133535682725,
1368
+ "loss": 0.553,
1369
+ "step": 200
1370
+ },
1371
+ {
1372
+ "epoch": 0.56,
1373
+ "eval_loss": 0.5266188979148865,
1374
+ "eval_runtime": 26.3,
1375
+ "eval_samples_per_second": 7.605,
1376
+ "eval_steps_per_second": 1.901,
1377
+ "step": 200
1378
+ },
1379
+ {
1380
+ "dharma_eval_accuracy": 0.4282802607491564,
1381
+ "dharma_eval_accuracy_ARC-Challenge": 0.5185185185185185,
1382
+ "dharma_eval_accuracy_ARC-Easy": 0.5740740740740741,
1383
+ "dharma_eval_accuracy_BoolQ": 0.7037037037037037,
1384
+ "dharma_eval_accuracy_MMLU": 0.4074074074074074,
1385
+ "dharma_eval_accuracy_agieval": 0.22033898305084745,
1386
+ "dharma_eval_accuracy_bigbench": 0.39344262295081966,
1387
+ "dharma_eval_accuracy_openbookqa": 0.14814814814814814,
1388
+ "dharma_eval_accuracy_truthful_qa": 0.3148148148148148,
1389
+ "dharma_eval_accuracy_winogrande": 0.5740740740740741,
1390
+ "dharma_loss": 2.507861177444458,
1391
+ "epoch": 0.56,
1392
+ "step": 200
1393
+ },
1394
+ {
1395
+ "epoch": 0.56,
1396
+ "learning_rate": 0.0002999181575942733,
1397
+ "loss": 0.4542,
1398
+ "step": 201
1399
+ },
1400
+ {
1401
+ "epoch": 0.57,
1402
+ "learning_rate": 0.0002999149169288452,
1403
+ "loss": 0.568,
1404
+ "step": 202
1405
+ },
1406
+ {
1407
+ "epoch": 0.57,
1408
+ "learning_rate": 0.0002999116133619028,
1409
+ "loss": 0.462,
1410
+ "step": 203
1411
+ },
1412
+ {
1413
+ "epoch": 0.57,
1414
+ "learning_rate": 0.0002999082468948321,
1415
+ "loss": 0.4854,
1416
+ "step": 204
1417
+ },
1418
+ {
1419
+ "epoch": 0.58,
1420
+ "learning_rate": 0.00029990481752904563,
1421
+ "loss": 0.474,
1422
+ "step": 205
1423
+ },
1424
+ {
1425
+ "epoch": 0.58,
1426
+ "learning_rate": 0.0002999013252659823,
1427
+ "loss": 0.5331,
1428
+ "step": 206
1429
+ },
1430
+ {
1431
+ "epoch": 0.58,
1432
+ "learning_rate": 0.0002998977701071074,
1433
+ "loss": 0.606,
1434
+ "step": 207
1435
+ },
1436
+ {
1437
+ "epoch": 0.58,
1438
+ "learning_rate": 0.00029989415205391263,
1439
+ "loss": 0.5452,
1440
+ "step": 208
1441
+ },
1442
+ {
1443
+ "epoch": 0.59,
1444
+ "learning_rate": 0.00029989047110791595,
1445
+ "loss": 0.6128,
1446
+ "step": 209
1447
+ },
1448
+ {
1449
+ "epoch": 0.59,
1450
+ "learning_rate": 0.0002998867272706619,
1451
+ "loss": 0.7108,
1452
+ "step": 210
1453
+ },
1454
+ {
1455
+ "epoch": 0.59,
1456
+ "learning_rate": 0.0002998829205437214,
1457
+ "loss": 0.5557,
1458
+ "step": 211
1459
+ },
1460
+ {
1461
+ "epoch": 0.6,
1462
+ "learning_rate": 0.0002998790509286915,
1463
+ "loss": 0.556,
1464
+ "step": 212
1465
+ },
1466
+ {
1467
+ "epoch": 0.6,
1468
+ "learning_rate": 0.000299875118427196,
1469
+ "loss": 0.6482,
1470
+ "step": 213
1471
+ },
1472
+ {
1473
+ "epoch": 0.6,
1474
+ "learning_rate": 0.00029987112304088483,
1475
+ "loss": 0.6108,
1476
+ "step": 214
1477
+ },
1478
+ {
1479
+ "epoch": 0.6,
1480
+ "learning_rate": 0.0002998670647714343,
1481
+ "loss": 0.7099,
1482
+ "step": 215
1483
+ },
1484
+ {
1485
+ "epoch": 0.61,
1486
+ "learning_rate": 0.0002998629436205473,
1487
+ "loss": 0.5939,
1488
+ "step": 216
1489
+ },
1490
+ {
1491
+ "epoch": 0.61,
1492
+ "learning_rate": 0.00029985875958995296,
1493
+ "loss": 0.6238,
1494
+ "step": 217
1495
+ },
1496
+ {
1497
+ "epoch": 0.61,
1498
+ "learning_rate": 0.00029985451268140683,
1499
+ "loss": 0.5144,
1500
+ "step": 218
1501
+ },
1502
+ {
1503
+ "epoch": 0.61,
1504
+ "learning_rate": 0.00029985020289669077,
1505
+ "loss": 0.7351,
1506
+ "step": 219
1507
+ },
1508
+ {
1509
+ "epoch": 0.62,
1510
+ "learning_rate": 0.00029984583023761317,
1511
+ "loss": 0.6136,
1512
+ "step": 220
1513
+ },
1514
+ {
1515
+ "epoch": 0.62,
1516
+ "learning_rate": 0.0002998413947060086,
1517
+ "loss": 0.7544,
1518
+ "step": 221
1519
+ },
1520
+ {
1521
+ "epoch": 0.62,
1522
+ "learning_rate": 0.00029983689630373825,
1523
+ "loss": 0.5588,
1524
+ "step": 222
1525
+ },
1526
+ {
1527
+ "epoch": 0.63,
1528
+ "learning_rate": 0.0002998323350326895,
1529
+ "loss": 0.5725,
1530
+ "step": 223
1531
+ },
1532
+ {
1533
+ "epoch": 0.63,
1534
+ "learning_rate": 0.0002998277108947762,
1535
+ "loss": 0.6262,
1536
+ "step": 224
1537
+ },
1538
+ {
1539
+ "epoch": 0.63,
1540
+ "learning_rate": 0.00029982302389193856,
1541
+ "loss": 0.6217,
1542
+ "step": 225
1543
+ },
1544
+ {
1545
+ "epoch": 0.63,
1546
+ "eval_loss": 0.527147114276886,
1547
+ "eval_runtime": 26.3496,
1548
+ "eval_samples_per_second": 7.59,
1549
+ "eval_steps_per_second": 1.898,
1550
+ "step": 225
1551
+ },
1552
+ {
1553
+ "dharma_eval_accuracy": 0.39483532805751936,
1554
+ "dharma_eval_accuracy_ARC-Challenge": 0.48148148148148145,
1555
+ "dharma_eval_accuracy_ARC-Easy": 0.6111111111111112,
1556
+ "dharma_eval_accuracy_BoolQ": 0.7037037037037037,
1557
+ "dharma_eval_accuracy_MMLU": 0.5185185185185185,
1558
+ "dharma_eval_accuracy_agieval": 0.2711864406779661,
1559
+ "dharma_eval_accuracy_bigbench": 0.39344262295081966,
1560
+ "dharma_eval_accuracy_openbookqa": 0.037037037037037035,
1561
+ "dharma_eval_accuracy_truthful_qa": 0.18518518518518517,
1562
+ "dharma_eval_accuracy_winogrande": 0.35185185185185186,
1563
+ "dharma_loss": 2.334738277435303,
1564
+ "epoch": 0.63,
1565
+ "step": 225
1566
+ },
1567
+ {
1568
+ "epoch": 0.63,
1569
+ "learning_rate": 0.0002998182740261432,
1570
+ "loss": 0.6376,
1571
+ "step": 226
1572
+ },
1573
+ {
1574
+ "epoch": 0.64,
1575
+ "learning_rate": 0.0002998134612993829,
1576
+ "loss": 0.5943,
1577
+ "step": 227
1578
+ },
1579
+ {
1580
+ "epoch": 0.64,
1581
+ "learning_rate": 0.0002998085857136772,
1582
+ "loss": 0.4096,
1583
+ "step": 228
1584
+ },
1585
+ {
1586
+ "epoch": 0.64,
1587
+ "learning_rate": 0.00029980364727107166,
1588
+ "loss": 0.5825,
1589
+ "step": 229
1590
+ },
1591
+ {
1592
+ "epoch": 0.65,
1593
+ "learning_rate": 0.00029979864597363845,
1594
+ "loss": 0.5372,
1595
+ "step": 230
1596
+ },
1597
+ {
1598
+ "epoch": 0.65,
1599
+ "learning_rate": 0.0002997935818234759,
1600
+ "loss": 0.5376,
1601
+ "step": 231
1602
+ },
1603
+ {
1604
+ "epoch": 0.65,
1605
+ "learning_rate": 0.00029978845482270906,
1606
+ "loss": 0.4369,
1607
+ "step": 232
1608
+ },
1609
+ {
1610
+ "epoch": 0.65,
1611
+ "learning_rate": 0.0002997832649734889,
1612
+ "loss": 0.5717,
1613
+ "step": 233
1614
+ },
1615
+ {
1616
+ "epoch": 0.66,
1617
+ "learning_rate": 0.0002997780122779931,
1618
+ "loss": 0.6981,
1619
+ "step": 234
1620
+ },
1621
+ {
1622
+ "epoch": 0.66,
1623
+ "learning_rate": 0.0002997726967384255,
1624
+ "loss": 0.5764,
1625
+ "step": 235
1626
+ },
1627
+ {
1628
+ "epoch": 0.66,
1629
+ "learning_rate": 0.0002997673183570165,
1630
+ "loss": 0.5937,
1631
+ "step": 236
1632
+ },
1633
+ {
1634
+ "epoch": 0.67,
1635
+ "learning_rate": 0.00029976187713602273,
1636
+ "loss": 0.2708,
1637
+ "step": 237
1638
+ },
1639
+ {
1640
+ "epoch": 0.67,
1641
+ "learning_rate": 0.0002997563730777273,
1642
+ "loss": 0.6383,
1643
+ "step": 238
1644
+ },
1645
+ {
1646
+ "epoch": 0.67,
1647
+ "learning_rate": 0.00029975080618443946,
1648
+ "loss": 0.491,
1649
+ "step": 239
1650
+ },
1651
+ {
1652
+ "epoch": 0.67,
1653
+ "learning_rate": 0.00029974517645849503,
1654
+ "loss": 0.5049,
1655
+ "step": 240
1656
+ },
1657
+ {
1658
+ "epoch": 0.68,
1659
+ "learning_rate": 0.0002997394839022562,
1660
+ "loss": 0.5768,
1661
+ "step": 241
1662
+ },
1663
+ {
1664
+ "epoch": 0.68,
1665
+ "learning_rate": 0.00029973372851811145,
1666
+ "loss": 0.566,
1667
+ "step": 242
1668
+ },
1669
+ {
1670
+ "epoch": 0.68,
1671
+ "learning_rate": 0.00029972791030847553,
1672
+ "loss": 0.7687,
1673
+ "step": 243
1674
+ },
1675
+ {
1676
+ "epoch": 0.68,
1677
+ "learning_rate": 0.0002997220292757898,
1678
+ "loss": 0.6399,
1679
+ "step": 244
1680
+ },
1681
+ {
1682
+ "epoch": 0.69,
1683
+ "learning_rate": 0.0002997160854225217,
1684
+ "loss": 0.545,
1685
+ "step": 245
1686
+ },
1687
+ {
1688
+ "epoch": 0.69,
1689
+ "learning_rate": 0.00029971007875116527,
1690
+ "loss": 0.6108,
1691
+ "step": 246
1692
+ },
1693
+ {
1694
+ "epoch": 0.69,
1695
+ "learning_rate": 0.0002997040092642407,
1696
+ "loss": 0.6478,
1697
+ "step": 247
1698
+ },
1699
+ {
1700
+ "epoch": 0.7,
1701
+ "learning_rate": 0.0002996978769642947,
1702
+ "loss": 0.5959,
1703
+ "step": 248
1704
+ },
1705
+ {
1706
+ "epoch": 0.7,
1707
+ "learning_rate": 0.0002996916818539003,
1708
+ "loss": 0.5995,
1709
+ "step": 249
1710
+ },
1711
+ {
1712
+ "epoch": 0.7,
1713
+ "learning_rate": 0.0002996854239356567,
1714
+ "loss": 0.5721,
1715
+ "step": 250
1716
+ },
1717
+ {
1718
+ "epoch": 0.7,
1719
+ "eval_loss": 0.5253523588180542,
1720
+ "eval_runtime": 26.3162,
1721
+ "eval_samples_per_second": 7.6,
1722
+ "eval_steps_per_second": 1.9,
1723
+ "step": 250
1724
+ },
1725
+ {
1726
+ "dharma_eval_accuracy": 0.35750614311016893,
1727
+ "dharma_eval_accuracy_ARC-Challenge": 0.48148148148148145,
1728
+ "dharma_eval_accuracy_ARC-Easy": 0.5370370370370371,
1729
+ "dharma_eval_accuracy_BoolQ": 0.6851851851851852,
1730
+ "dharma_eval_accuracy_MMLU": 0.3888888888888889,
1731
+ "dharma_eval_accuracy_agieval": 0.23728813559322035,
1732
+ "dharma_eval_accuracy_bigbench": 0.29508196721311475,
1733
+ "dharma_eval_accuracy_openbookqa": 0.018518518518518517,
1734
+ "dharma_eval_accuracy_truthful_qa": 0.2222222222222222,
1735
+ "dharma_eval_accuracy_winogrande": 0.35185185185185186,
1736
+ "dharma_loss": 3.018469988822937,
1737
+ "epoch": 0.7,
1738
+ "step": 250
1739
+ },
1740
+ {
1741
+ "epoch": 0.7,
1742
+ "learning_rate": 0.0002996791032121898,
1743
+ "loss": 0.3632,
1744
+ "step": 251
1745
+ },
1746
+ {
1747
+ "epoch": 0.71,
1748
+ "learning_rate": 0.0002996727196861515,
1749
+ "loss": 0.5306,
1750
+ "step": 252
1751
+ },
1752
+ {
1753
+ "epoch": 0.71,
1754
+ "learning_rate": 0.00029966627336022034,
1755
+ "loss": 0.4332,
1756
+ "step": 253
1757
+ },
1758
+ {
1759
+ "epoch": 0.71,
1760
+ "learning_rate": 0.000299659764237101,
1761
+ "loss": 0.4484,
1762
+ "step": 254
1763
+ },
1764
+ {
1765
+ "epoch": 0.72,
1766
+ "learning_rate": 0.00029965319231952455,
1767
+ "loss": 0.5353,
1768
+ "step": 255
1769
+ },
1770
+ {
1771
+ "epoch": 0.72,
1772
+ "learning_rate": 0.00029964655761024854,
1773
+ "loss": 0.6232,
1774
+ "step": 256
1775
+ },
1776
+ {
1777
+ "epoch": 0.72,
1778
+ "learning_rate": 0.00029963986011205675,
1779
+ "loss": 0.672,
1780
+ "step": 257
1781
+ },
1782
+ {
1783
+ "epoch": 0.72,
1784
+ "learning_rate": 0.0002996330998277593,
1785
+ "loss": 0.5865,
1786
+ "step": 258
1787
+ },
1788
+ {
1789
+ "epoch": 0.73,
1790
+ "learning_rate": 0.0002996262767601926,
1791
+ "loss": 0.8846,
1792
+ "step": 259
1793
+ },
1794
+ {
1795
+ "epoch": 0.73,
1796
+ "learning_rate": 0.0002996193909122197,
1797
+ "loss": 0.4847,
1798
+ "step": 260
1799
+ },
1800
+ {
1801
+ "epoch": 0.73,
1802
+ "learning_rate": 0.00029961244228672953,
1803
+ "loss": 0.5886,
1804
+ "step": 261
1805
+ },
1806
+ {
1807
+ "epoch": 0.74,
1808
+ "learning_rate": 0.0002996054308866378,
1809
+ "loss": 0.6324,
1810
+ "step": 262
1811
+ },
1812
+ {
1813
+ "epoch": 0.74,
1814
+ "learning_rate": 0.0002995983567148862,
1815
+ "loss": 0.4812,
1816
+ "step": 263
1817
+ },
1818
+ {
1819
+ "epoch": 0.74,
1820
+ "learning_rate": 0.000299591219774443,
1821
+ "loss": 0.6549,
1822
+ "step": 264
1823
+ },
1824
+ {
1825
+ "epoch": 0.74,
1826
+ "learning_rate": 0.00029958402006830274,
1827
+ "loss": 0.4712,
1828
+ "step": 265
1829
+ },
1830
+ {
1831
+ "epoch": 0.75,
1832
+ "learning_rate": 0.0002995767575994863,
1833
+ "loss": 0.452,
1834
+ "step": 266
1835
+ },
1836
+ {
1837
+ "epoch": 0.75,
1838
+ "learning_rate": 0.00029956943237104084,
1839
+ "loss": 0.5716,
1840
+ "step": 267
1841
+ },
1842
+ {
1843
+ "epoch": 0.75,
1844
+ "learning_rate": 0.0002995620443860399,
1845
+ "loss": 0.6757,
1846
+ "step": 268
1847
+ },
1848
+ {
1849
+ "epoch": 0.76,
1850
+ "learning_rate": 0.0002995545936475833,
1851
+ "loss": 0.5403,
1852
+ "step": 269
1853
+ },
1854
+ {
1855
+ "epoch": 0.76,
1856
+ "learning_rate": 0.0002995470801587973,
1857
+ "loss": 0.6785,
1858
+ "step": 270
1859
+ },
1860
+ {
1861
+ "epoch": 0.76,
1862
+ "learning_rate": 0.0002995395039228343,
1863
+ "loss": 0.6292,
1864
+ "step": 271
1865
+ },
1866
+ {
1867
+ "epoch": 0.76,
1868
+ "learning_rate": 0.00029953186494287336,
1869
+ "loss": 0.5181,
1870
+ "step": 272
1871
+ },
1872
+ {
1873
+ "epoch": 0.77,
1874
+ "learning_rate": 0.0002995241632221195,
1875
+ "loss": 0.5219,
1876
+ "step": 273
1877
+ },
1878
+ {
1879
+ "epoch": 0.77,
1880
+ "learning_rate": 0.00029951639876380425,
1881
+ "loss": 0.5475,
1882
+ "step": 274
1883
+ },
1884
+ {
1885
+ "epoch": 0.77,
1886
+ "learning_rate": 0.0002995085715711854,
1887
+ "loss": 0.5605,
1888
+ "step": 275
1889
+ },
1890
+ {
1891
+ "epoch": 0.77,
1892
+ "eval_loss": 0.5327661633491516,
1893
+ "eval_runtime": 26.3174,
1894
+ "eval_samples_per_second": 7.6,
1895
+ "eval_steps_per_second": 1.9,
1896
+ "step": 275
1897
+ },
1898
+ {
1899
+ "dharma_eval_accuracy": 0.4329237545408704,
1900
+ "dharma_eval_accuracy_ARC-Challenge": 0.5555555555555556,
1901
+ "dharma_eval_accuracy_ARC-Easy": 0.6111111111111112,
1902
+ "dharma_eval_accuracy_BoolQ": 0.7037037037037037,
1903
+ "dharma_eval_accuracy_MMLU": 0.37037037037037035,
1904
+ "dharma_eval_accuracy_agieval": 0.2542372881355932,
1905
+ "dharma_eval_accuracy_bigbench": 0.47540983606557374,
1906
+ "dharma_eval_accuracy_openbookqa": 0.09259259259259259,
1907
+ "dharma_eval_accuracy_truthful_qa": 0.3148148148148148,
1908
+ "dharma_eval_accuracy_winogrande": 0.5185185185185185,
1909
+ "dharma_loss": 2.377507550239563,
1910
+ "epoch": 0.77,
1911
+ "step": 275
1912
+ },
1913
+ {
1914
+ "epoch": 0.77,
1915
+ "learning_rate": 0.0002995006816475471,
1916
+ "loss": 0.5067,
1917
+ "step": 276
1918
+ },
1919
+ {
1920
+ "epoch": 0.78,
1921
+ "learning_rate": 0.00029949272899619994,
1922
+ "loss": 0.6751,
1923
+ "step": 277
1924
+ },
1925
+ {
1926
+ "epoch": 0.78,
1927
+ "learning_rate": 0.0002994847136204805,
1928
+ "loss": 0.5557,
1929
+ "step": 278
1930
+ },
1931
+ {
1932
+ "epoch": 0.78,
1933
+ "learning_rate": 0.0002994766355237521,
1934
+ "loss": 0.6013,
1935
+ "step": 279
1936
+ },
1937
+ {
1938
+ "epoch": 0.79,
1939
+ "learning_rate": 0.0002994684947094039,
1940
+ "loss": 0.4763,
1941
+ "step": 280
1942
+ },
1943
+ {
1944
+ "epoch": 0.79,
1945
+ "learning_rate": 0.00029946029118085193,
1946
+ "loss": 0.5,
1947
+ "step": 281
1948
+ },
1949
+ {
1950
+ "epoch": 0.79,
1951
+ "learning_rate": 0.000299452024941538,
1952
+ "loss": 0.4948,
1953
+ "step": 282
1954
+ },
1955
+ {
1956
+ "epoch": 0.79,
1957
+ "learning_rate": 0.0002994436959949306,
1958
+ "loss": 0.4705,
1959
+ "step": 283
1960
+ },
1961
+ {
1962
+ "epoch": 0.8,
1963
+ "learning_rate": 0.0002994353043445244,
1964
+ "loss": 0.8139,
1965
+ "step": 284
1966
+ },
1967
+ {
1968
+ "epoch": 0.8,
1969
+ "learning_rate": 0.0002994268499938403,
1970
+ "loss": 0.4713,
1971
+ "step": 285
1972
+ },
1973
+ {
1974
+ "epoch": 0.8,
1975
+ "learning_rate": 0.0002994183329464256,
1976
+ "loss": 0.5527,
1977
+ "step": 286
1978
+ },
1979
+ {
1980
+ "epoch": 0.81,
1981
+ "learning_rate": 0.00029940975320585396,
1982
+ "loss": 0.5425,
1983
+ "step": 287
1984
+ },
1985
+ {
1986
+ "epoch": 0.81,
1987
+ "learning_rate": 0.00029940111077572526,
1988
+ "loss": 0.5926,
1989
+ "step": 288
1990
+ },
1991
+ {
1992
+ "epoch": 0.81,
1993
+ "learning_rate": 0.00029939240565966574,
1994
+ "loss": 0.5987,
1995
+ "step": 289
1996
+ },
1997
+ {
1998
+ "epoch": 0.81,
1999
+ "learning_rate": 0.00029938363786132774,
2000
+ "loss": 0.6077,
2001
+ "step": 290
2002
+ },
2003
+ {
2004
+ "epoch": 0.82,
2005
+ "learning_rate": 0.00029937480738439023,
2006
+ "loss": 0.4822,
2007
+ "step": 291
2008
+ },
2009
+ {
2010
+ "epoch": 0.82,
2011
+ "learning_rate": 0.00029936591423255826,
2012
+ "loss": 0.6527,
2013
+ "step": 292
2014
+ },
2015
+ {
2016
+ "epoch": 0.82,
2017
+ "learning_rate": 0.00029935695840956327,
2018
+ "loss": 0.5724,
2019
+ "step": 293
2020
+ },
2021
+ {
2022
+ "epoch": 0.83,
2023
+ "learning_rate": 0.00029934793991916295,
2024
+ "loss": 0.6617,
2025
+ "step": 294
2026
+ },
2027
+ {
2028
+ "epoch": 0.83,
2029
+ "learning_rate": 0.00029933885876514115,
2030
+ "loss": 0.5795,
2031
+ "step": 295
2032
+ },
2033
+ {
2034
+ "epoch": 0.83,
2035
+ "learning_rate": 0.0002993297149513083,
2036
+ "loss": 0.5049,
2037
+ "step": 296
2038
+ },
2039
+ {
2040
+ "epoch": 0.83,
2041
+ "learning_rate": 0.00029932050848150105,
2042
+ "loss": 0.5826,
2043
+ "step": 297
2044
+ },
2045
+ {
2046
+ "epoch": 0.84,
2047
+ "learning_rate": 0.0002993112393595821,
2048
+ "loss": 0.4766,
2049
+ "step": 298
2050
+ },
2051
+ {
2052
+ "epoch": 0.84,
2053
+ "learning_rate": 0.0002993019075894406,
2054
+ "loss": 0.4514,
2055
+ "step": 299
2056
+ },
2057
+ {
2058
+ "epoch": 0.84,
2059
+ "learning_rate": 0.0002992925131749921,
2060
+ "loss": 0.5825,
2061
+ "step": 300
2062
+ },
2063
+ {
2064
+ "epoch": 0.84,
2065
+ "eval_loss": 0.5207599401473999,
2066
+ "eval_runtime": 26.3377,
2067
+ "eval_samples_per_second": 7.594,
2068
+ "eval_steps_per_second": 1.898,
2069
+ "step": 300
2070
+ },
2071
+ {
2072
+ "dharma_eval_accuracy": 0.42874678265681937,
2073
+ "dharma_eval_accuracy_ARC-Challenge": 0.5,
2074
+ "dharma_eval_accuracy_ARC-Easy": 0.6111111111111112,
2075
+ "dharma_eval_accuracy_BoolQ": 0.7037037037037037,
2076
+ "dharma_eval_accuracy_MMLU": 0.3333333333333333,
2077
+ "dharma_eval_accuracy_agieval": 0.23728813559322035,
2078
+ "dharma_eval_accuracy_bigbench": 0.4918032786885246,
2079
+ "dharma_eval_accuracy_openbookqa": 0.09259259259259259,
2080
+ "dharma_eval_accuracy_truthful_qa": 0.2962962962962963,
2081
+ "dharma_eval_accuracy_winogrande": 0.5925925925925926,
2082
+ "dharma_loss": 2.452057005882263,
2083
+ "epoch": 0.84,
2084
+ "step": 300
2085
+ },
2086
+ {
2087
+ "epoch": 0.84,
2088
+ "learning_rate": 0.00029928305612017823,
2089
+ "loss": 0.4251,
2090
+ "step": 301
2091
+ },
2092
+ {
2093
+ "epoch": 0.85,
2094
+ "learning_rate": 0.0002992735364289671,
2095
+ "loss": 0.4762,
2096
+ "step": 302
2097
+ },
2098
+ {
2099
+ "epoch": 0.85,
2100
+ "learning_rate": 0.0002992639541053528,
2101
+ "loss": 0.4531,
2102
+ "step": 303
2103
+ },
2104
+ {
2105
+ "epoch": 0.85,
2106
+ "learning_rate": 0.0002992543091533561,
2107
+ "loss": 0.64,
2108
+ "step": 304
2109
+ },
2110
+ {
2111
+ "epoch": 0.86,
2112
+ "learning_rate": 0.00029924460157702376,
2113
+ "loss": 0.6483,
2114
+ "step": 305
2115
+ },
2116
+ {
2117
+ "epoch": 0.86,
2118
+ "learning_rate": 0.0002992348313804289,
2119
+ "loss": 0.5646,
2120
+ "step": 306
2121
+ },
2122
+ {
2123
+ "epoch": 0.86,
2124
+ "learning_rate": 0.00029922499856767094,
2125
+ "loss": 0.4947,
2126
+ "step": 307
2127
+ },
2128
+ {
2129
+ "epoch": 0.86,
2130
+ "learning_rate": 0.00029921510314287545,
2131
+ "loss": 0.4793,
2132
+ "step": 308
2133
+ },
2134
+ {
2135
+ "epoch": 0.87,
2136
+ "learning_rate": 0.00029920514511019456,
2137
+ "loss": 0.3957,
2138
+ "step": 309
2139
+ },
2140
+ {
2141
+ "epoch": 0.87,
2142
+ "learning_rate": 0.00029919512447380625,
2143
+ "loss": 0.6941,
2144
+ "step": 310
2145
+ },
2146
+ {
2147
+ "epoch": 0.87,
2148
+ "learning_rate": 0.0002991850412379151,
2149
+ "loss": 0.6013,
2150
+ "step": 311
2151
+ },
2152
+ {
2153
+ "epoch": 0.88,
2154
+ "learning_rate": 0.0002991748954067519,
2155
+ "loss": 0.6011,
2156
+ "step": 312
2157
+ },
2158
+ {
2159
+ "epoch": 0.88,
2160
+ "learning_rate": 0.0002991646869845736,
2161
+ "loss": 0.7579,
2162
+ "step": 313
2163
+ },
2164
+ {
2165
+ "epoch": 0.88,
2166
+ "learning_rate": 0.0002991544159756634,
2167
+ "loss": 0.4339,
2168
+ "step": 314
2169
+ },
2170
+ {
2171
+ "epoch": 0.88,
2172
+ "learning_rate": 0.0002991440823843309,
2173
+ "loss": 0.4666,
2174
+ "step": 315
2175
+ },
2176
+ {
2177
+ "epoch": 0.89,
2178
+ "learning_rate": 0.0002991336862149119,
2179
+ "loss": 0.5458,
2180
+ "step": 316
2181
+ },
2182
+ {
2183
+ "epoch": 0.89,
2184
+ "learning_rate": 0.00029912322747176835,
2185
+ "loss": 0.6499,
2186
+ "step": 317
2187
+ },
2188
+ {
2189
+ "epoch": 0.89,
2190
+ "learning_rate": 0.0002991127061592887,
2191
+ "loss": 0.7208,
2192
+ "step": 318
2193
+ },
2194
+ {
2195
+ "epoch": 0.9,
2196
+ "learning_rate": 0.00029910212228188734,
2197
+ "loss": 0.7648,
2198
+ "step": 319
2199
+ },
2200
+ {
2201
+ "epoch": 0.9,
2202
+ "learning_rate": 0.0002990914758440051,
2203
+ "loss": 0.9322,
2204
+ "step": 320
2205
+ },
2206
+ {
2207
+ "epoch": 0.9,
2208
+ "learning_rate": 0.00029908076685010915,
2209
+ "loss": 0.6769,
2210
+ "step": 321
2211
+ },
2212
+ {
2213
+ "epoch": 0.9,
2214
+ "learning_rate": 0.0002990699953046926,
2215
+ "loss": 0.6241,
2216
+ "step": 322
2217
+ },
2218
+ {
2219
+ "epoch": 0.91,
2220
+ "learning_rate": 0.00029905916121227515,
2221
+ "loss": 0.409,
2222
+ "step": 323
2223
+ },
2224
+ {
2225
+ "epoch": 0.91,
2226
+ "learning_rate": 0.00029904826457740247,
2227
+ "loss": 0.3138,
2228
+ "step": 324
2229
+ },
2230
+ {
2231
+ "epoch": 0.91,
2232
+ "learning_rate": 0.00029903730540464666,
2233
+ "loss": 0.5241,
2234
+ "step": 325
2235
+ },
2236
+ {
2237
+ "epoch": 0.91,
2238
+ "eval_loss": 0.5201582908630371,
2239
+ "eval_runtime": 26.3949,
2240
+ "eval_samples_per_second": 7.577,
2241
+ "eval_steps_per_second": 1.894,
2242
+ "step": 325
2243
+ },
2244
+ {
2245
+ "dharma_eval_accuracy": 0.3616831149942199,
2246
+ "dharma_eval_accuracy_ARC-Challenge": 0.4444444444444444,
2247
+ "dharma_eval_accuracy_ARC-Easy": 0.5,
2248
+ "dharma_eval_accuracy_BoolQ": 0.7222222222222222,
2249
+ "dharma_eval_accuracy_MMLU": 0.4444444444444444,
2250
+ "dharma_eval_accuracy_agieval": 0.2542372881355932,
2251
+ "dharma_eval_accuracy_bigbench": 0.2786885245901639,
2252
+ "dharma_eval_accuracy_openbookqa": 0.05555555555555555,
2253
+ "dharma_eval_accuracy_truthful_qa": 0.3888888888888889,
2254
+ "dharma_eval_accuracy_winogrande": 0.16666666666666666,
2255
+ "dharma_loss": 2.3925395412445067,
2256
+ "epoch": 0.91,
2257
+ "step": 325
2258
+ },
2259
+ {
2260
+ "epoch": 0.92,
2261
+ "learning_rate": 0.0002990262836986059,
2262
+ "loss": 0.358,
2263
+ "step": 326
2264
+ },
2265
+ {
2266
+ "epoch": 0.92,
2267
+ "learning_rate": 0.0002990151994639048,
2268
+ "loss": 0.5683,
2269
+ "step": 327
2270
+ },
2271
+ {
2272
+ "epoch": 0.92,
2273
+ "learning_rate": 0.000299004052705194,
2274
+ "loss": 0.4744,
2275
+ "step": 328
2276
+ },
2277
+ {
2278
+ "epoch": 0.92,
2279
+ "learning_rate": 0.00029899284342715054,
2280
+ "loss": 0.6101,
2281
+ "step": 329
2282
+ },
2283
+ {
2284
+ "epoch": 0.93,
2285
+ "learning_rate": 0.00029898157163447763,
2286
+ "loss": 0.5381,
2287
+ "step": 330
2288
+ },
2289
+ {
2290
+ "epoch": 0.93,
2291
+ "learning_rate": 0.0002989702373319047,
2292
+ "loss": 0.5269,
2293
+ "step": 331
2294
+ },
2295
+ {
2296
+ "epoch": 0.93,
2297
+ "learning_rate": 0.00029895884052418735,
2298
+ "loss": 0.4993,
2299
+ "step": 332
2300
+ },
2301
+ {
2302
+ "epoch": 0.93,
2303
+ "learning_rate": 0.00029894738121610755,
2304
+ "loss": 0.5623,
2305
+ "step": 333
2306
+ },
2307
+ {
2308
+ "epoch": 0.94,
2309
+ "learning_rate": 0.0002989358594124733,
2310
+ "loss": 0.5988,
2311
+ "step": 334
2312
+ },
2313
+ {
2314
+ "epoch": 0.94,
2315
+ "learning_rate": 0.0002989242751181191,
2316
+ "loss": 0.5623,
2317
+ "step": 335
2318
+ },
2319
+ {
2320
+ "epoch": 0.94,
2321
+ "learning_rate": 0.0002989126283379054,
2322
+ "loss": 0.4471,
2323
+ "step": 336
2324
+ },
2325
+ {
2326
+ "epoch": 0.95,
2327
+ "learning_rate": 0.000298900919076719,
2328
+ "loss": 0.489,
2329
+ "step": 337
2330
+ },
2331
+ {
2332
+ "epoch": 0.95,
2333
+ "learning_rate": 0.00029888914733947275,
2334
+ "loss": 0.5404,
2335
+ "step": 338
2336
+ },
2337
+ {
2338
+ "epoch": 0.95,
2339
+ "learning_rate": 0.00029887731313110613,
2340
+ "loss": 0.5639,
2341
+ "step": 339
2342
+ },
2343
+ {
2344
+ "epoch": 0.95,
2345
+ "learning_rate": 0.0002988654164565843,
2346
+ "loss": 0.6034,
2347
+ "step": 340
2348
+ },
2349
+ {
2350
+ "epoch": 0.96,
2351
+ "learning_rate": 0.00029885345732089905,
2352
+ "loss": 0.5529,
2353
+ "step": 341
2354
+ },
2355
+ {
2356
+ "epoch": 0.96,
2357
+ "learning_rate": 0.0002988414357290681,
2358
+ "loss": 0.6584,
2359
+ "step": 342
2360
+ },
2361
+ {
2362
+ "epoch": 0.96,
2363
+ "learning_rate": 0.0002988293516861356,
2364
+ "loss": 0.5119,
2365
+ "step": 343
2366
+ },
2367
+ {
2368
+ "epoch": 0.97,
2369
+ "learning_rate": 0.0002988172051971717,
2370
+ "loss": 0.4797,
2371
+ "step": 344
2372
+ },
2373
+ {
2374
+ "epoch": 0.97,
2375
+ "learning_rate": 0.0002988049962672728,
2376
+ "loss": 0.619,
2377
+ "step": 345
2378
+ },
2379
+ {
2380
+ "epoch": 0.97,
2381
+ "learning_rate": 0.0002987927249015616,
2382
+ "loss": 0.621,
2383
+ "step": 346
2384
+ },
2385
+ {
2386
+ "epoch": 0.97,
2387
+ "learning_rate": 0.00029878039110518704,
2388
+ "loss": 0.6019,
2389
+ "step": 347
2390
+ },
2391
+ {
2392
+ "epoch": 0.98,
2393
+ "learning_rate": 0.000298767994883324,
2394
+ "loss": 0.5099,
2395
+ "step": 348
2396
+ },
2397
+ {
2398
+ "epoch": 0.98,
2399
+ "learning_rate": 0.00029875553624117375,
2400
+ "loss": 0.3973,
2401
+ "step": 349
2402
+ },
2403
+ {
2404
+ "epoch": 0.98,
2405
+ "learning_rate": 0.00029874301518396376,
2406
+ "loss": 0.6068,
2407
+ "step": 350
2408
+ },
2409
+ {
2410
+ "epoch": 0.98,
2411
+ "eval_loss": 0.517635703086853,
2412
+ "eval_runtime": 26.3545,
2413
+ "eval_samples_per_second": 7.589,
2414
+ "eval_steps_per_second": 1.897,
2415
+ "step": 350
2416
+ },
2417
+ {
2418
+ "dharma_eval_accuracy": 0.36985182212251455,
2419
+ "dharma_eval_accuracy_ARC-Challenge": 0.37037037037037035,
2420
+ "dharma_eval_accuracy_ARC-Easy": 0.4444444444444444,
2421
+ "dharma_eval_accuracy_BoolQ": 0.6851851851851852,
2422
+ "dharma_eval_accuracy_MMLU": 0.2962962962962963,
2423
+ "dharma_eval_accuracy_agieval": 0.23728813559322035,
2424
+ "dharma_eval_accuracy_bigbench": 0.29508196721311475,
2425
+ "dharma_eval_accuracy_openbookqa": 0.09259259259259259,
2426
+ "dharma_eval_accuracy_truthful_qa": 0.35185185185185186,
2427
+ "dharma_eval_accuracy_winogrande": 0.5555555555555556,
2428
+ "dharma_loss": 2.8203083801269533,
2429
+ "epoch": 0.98,
2430
+ "step": 350
2431
+ },
2432
+ {
2433
+ "epoch": 0.99,
2434
+ "learning_rate": 0.00029873043171694755,
2435
+ "loss": 0.5346,
2436
+ "step": 351
2437
+ },
2438
+ {
2439
+ "epoch": 0.99,
2440
+ "learning_rate": 0.0002987177858454049,
2441
+ "loss": 0.3792,
2442
+ "step": 352
2443
+ },
2444
+ {
2445
+ "epoch": 0.99,
2446
+ "learning_rate": 0.00029870507757464193,
2447
+ "loss": 0.5227,
2448
+ "step": 353
2449
+ },
2450
+ {
2451
+ "epoch": 0.99,
2452
+ "learning_rate": 0.0002986923069099906,
2453
+ "loss": 0.4218,
2454
+ "step": 354
2455
+ },
2456
+ {
2457
+ "epoch": 1.0,
2458
+ "learning_rate": 0.00029867947385680936,
2459
+ "loss": 0.4866,
2460
+ "step": 355
2461
+ },
2462
+ {
2463
+ "epoch": 1.0,
2464
+ "learning_rate": 0.00029866657842048274,
2465
+ "loss": 0.4593,
2466
+ "step": 356
2467
+ },
2468
+ {
2469
+ "epoch": 1.0,
2470
+ "learning_rate": 0.00029865362060642136,
2471
+ "loss": 0.6367,
2472
+ "step": 357
2473
+ },
2474
+ {
2475
+ "epoch": 1.0,
2476
+ "learning_rate": 0.0002986406004200621,
2477
+ "loss": 0.5064,
2478
+ "step": 358
2479
+ },
2480
+ {
2481
+ "epoch": 1.01,
2482
+ "learning_rate": 0.00029862751786686797,
2483
+ "loss": 0.4206,
2484
+ "step": 359
2485
+ },
2486
+ {
2487
+ "epoch": 1.01,
2488
+ "learning_rate": 0.0002986143729523282,
2489
+ "loss": 0.6043,
2490
+ "step": 360
2491
+ },
2492
+ {
2493
+ "epoch": 1.01,
2494
+ "learning_rate": 0.0002986011656819582,
2495
+ "loss": 0.6889,
2496
+ "step": 361
2497
+ },
2498
+ {
2499
+ "epoch": 1.02,
2500
+ "learning_rate": 0.0002985878960612993,
2501
+ "loss": 0.6266,
2502
+ "step": 362
2503
+ },
2504
+ {
2505
+ "epoch": 1.02,
2506
+ "learning_rate": 0.0002985745640959194,
2507
+ "loss": 0.6016,
2508
+ "step": 363
2509
+ },
2510
+ {
2511
+ "epoch": 1.02,
2512
+ "learning_rate": 0.00029856116979141224,
2513
+ "loss": 0.387,
2514
+ "step": 364
2515
+ },
2516
+ {
2517
+ "epoch": 1.02,
2518
+ "learning_rate": 0.00029854771315339785,
2519
+ "loss": 0.4954,
2520
+ "step": 365
2521
+ },
2522
+ {
2523
+ "epoch": 1.03,
2524
+ "learning_rate": 0.0002985341941875224,
2525
+ "loss": 0.5165,
2526
+ "step": 366
2527
+ },
2528
+ {
2529
+ "epoch": 1.03,
2530
+ "learning_rate": 0.0002985206128994581,
2531
+ "loss": 0.459,
2532
+ "step": 367
2533
+ },
2534
+ {
2535
+ "epoch": 1.03,
2536
+ "learning_rate": 0.0002985069692949036,
2537
+ "loss": 0.5966,
2538
+ "step": 368
2539
+ },
2540
+ {
2541
+ "epoch": 1.04,
2542
+ "learning_rate": 0.0002984932633795833,
2543
+ "loss": 0.4271,
2544
+ "step": 369
2545
+ },
2546
+ {
2547
+ "epoch": 1.04,
2548
+ "learning_rate": 0.00029847949515924806,
2549
+ "loss": 0.4243,
2550
+ "step": 370
2551
+ },
2552
+ {
2553
+ "epoch": 1.04,
2554
+ "learning_rate": 0.00029846566463967477,
2555
+ "loss": 0.4879,
2556
+ "step": 371
2557
+ },
2558
+ {
2559
+ "epoch": 1.04,
2560
+ "learning_rate": 0.0002984517718266664,
2561
+ "loss": 0.4225,
2562
+ "step": 372
2563
+ },
2564
+ {
2565
+ "epoch": 1.05,
2566
+ "learning_rate": 0.00029843781672605216,
2567
+ "loss": 0.385,
2568
+ "step": 373
2569
+ },
2570
+ {
2571
+ "epoch": 1.05,
2572
+ "learning_rate": 0.00029842379934368735,
2573
+ "loss": 0.5161,
2574
+ "step": 374
2575
+ },
2576
+ {
2577
+ "epoch": 1.05,
2578
+ "learning_rate": 0.0002984097196854534,
2579
+ "loss": 0.5034,
2580
+ "step": 375
2581
+ },
2582
+ {
2583
+ "epoch": 1.05,
2584
+ "eval_loss": 0.5201339721679688,
2585
+ "eval_runtime": 26.3832,
2586
+ "eval_samples_per_second": 7.581,
2587
+ "eval_steps_per_second": 1.895,
2588
+ "step": 375
2589
+ },
2590
+ {
2591
+ "dharma_eval_accuracy": 0.40587691825690037,
2592
+ "dharma_eval_accuracy_ARC-Challenge": 0.24074074074074073,
2593
+ "dharma_eval_accuracy_ARC-Easy": 0.2962962962962963,
2594
+ "dharma_eval_accuracy_BoolQ": 0.7037037037037037,
2595
+ "dharma_eval_accuracy_MMLU": 0.2037037037037037,
2596
+ "dharma_eval_accuracy_agieval": 0.23728813559322035,
2597
+ "dharma_eval_accuracy_bigbench": 0.5081967213114754,
2598
+ "dharma_eval_accuracy_openbookqa": 0.24074074074074073,
2599
+ "dharma_eval_accuracy_truthful_qa": 0.7037037037037037,
2600
+ "dharma_eval_accuracy_winogrande": 0.5185185185185185,
2601
+ "dharma_loss": 2.7163280713558198,
2602
+ "epoch": 1.05,
2603
+ "step": 375
2604
+ },
2605
+ {
2606
+ "epoch": 1.06,
2607
+ "learning_rate": 0.0002983955777572578,
2608
+ "loss": 0.6131,
2609
+ "step": 376
2610
+ },
2611
+ {
2612
+ "epoch": 1.06,
2613
+ "learning_rate": 0.0002983813735650344,
2614
+ "loss": 0.546,
2615
+ "step": 377
2616
+ },
2617
+ {
2618
+ "epoch": 1.06,
2619
+ "learning_rate": 0.00029836710711474287,
2620
+ "loss": 0.3439,
2621
+ "step": 378
2622
+ },
2623
+ {
2624
+ "epoch": 1.06,
2625
+ "learning_rate": 0.0002983527784123692,
2626
+ "loss": 0.6843,
2627
+ "step": 379
2628
+ },
2629
+ {
2630
+ "epoch": 1.07,
2631
+ "learning_rate": 0.0002983383874639254,
2632
+ "loss": 0.4989,
2633
+ "step": 380
2634
+ },
2635
+ {
2636
+ "epoch": 1.07,
2637
+ "learning_rate": 0.0002983239342754498,
2638
+ "loss": 0.4311,
2639
+ "step": 381
2640
+ },
2641
+ {
2642
+ "epoch": 1.07,
2643
+ "learning_rate": 0.0002983094188530065,
2644
+ "loss": 0.6035,
2645
+ "step": 382
2646
+ },
2647
+ {
2648
+ "epoch": 1.08,
2649
+ "learning_rate": 0.000298294841202686,
2650
+ "loss": 0.3606,
2651
+ "step": 383
2652
+ },
2653
+ {
2654
+ "epoch": 1.08,
2655
+ "learning_rate": 0.0002982802013306048,
2656
+ "loss": 0.3556,
2657
+ "step": 384
2658
+ },
2659
+ {
2660
+ "epoch": 1.08,
2661
+ "learning_rate": 0.00029826549924290557,
2662
+ "loss": 0.4458,
2663
+ "step": 385
2664
+ },
2665
+ {
2666
+ "epoch": 1.08,
2667
+ "learning_rate": 0.0002982507349457569,
2668
+ "loss": 0.4737,
2669
+ "step": 386
2670
+ },
2671
+ {
2672
+ "epoch": 1.09,
2673
+ "learning_rate": 0.00029823590844535366,
2674
+ "loss": 0.5703,
2675
+ "step": 387
2676
+ },
2677
+ {
2678
+ "epoch": 1.09,
2679
+ "learning_rate": 0.0002982210197479169,
2680
+ "loss": 0.3601,
2681
+ "step": 388
2682
+ },
2683
+ {
2684
+ "epoch": 1.09,
2685
+ "learning_rate": 0.00029820606885969347,
2686
+ "loss": 0.337,
2687
+ "step": 389
2688
+ },
2689
+ {
2690
+ "epoch": 1.09,
2691
+ "learning_rate": 0.00029819105578695655,
2692
+ "loss": 0.4757,
2693
+ "step": 390
2694
+ },
2695
+ {
2696
+ "epoch": 1.1,
2697
+ "learning_rate": 0.0002981759805360054,
2698
+ "loss": 0.5072,
2699
+ "step": 391
2700
+ },
2701
+ {
2702
+ "epoch": 1.1,
2703
+ "learning_rate": 0.0002981608431131653,
2704
+ "loss": 0.4409,
2705
+ "step": 392
2706
+ },
2707
+ {
2708
+ "epoch": 1.1,
2709
+ "learning_rate": 0.00029814564352478753,
2710
+ "loss": 0.5252,
2711
+ "step": 393
2712
+ },
2713
+ {
2714
+ "epoch": 1.11,
2715
+ "learning_rate": 0.00029813038177724965,
2716
+ "loss": 0.5016,
2717
+ "step": 394
2718
+ },
2719
+ {
2720
+ "epoch": 1.11,
2721
+ "learning_rate": 0.00029811505787695524,
2722
+ "loss": 0.3186,
2723
+ "step": 395
2724
+ },
2725
+ {
2726
+ "epoch": 1.11,
2727
+ "learning_rate": 0.0002980996718303338,
2728
+ "loss": 0.5822,
2729
+ "step": 396
2730
+ },
2731
+ {
2732
+ "epoch": 1.11,
2733
+ "learning_rate": 0.00029808422364384113,
2734
+ "loss": 0.54,
2735
+ "step": 397
2736
+ },
2737
+ {
2738
+ "epoch": 1.12,
2739
+ "learning_rate": 0.00029806871332395895,
2740
+ "loss": 0.4582,
2741
+ "step": 398
2742
+ },
2743
+ {
2744
+ "epoch": 1.12,
2745
+ "learning_rate": 0.0002980531408771951,
2746
+ "loss": 0.5073,
2747
+ "step": 399
2748
+ },
2749
+ {
2750
+ "epoch": 1.12,
2751
+ "learning_rate": 0.00029803750631008356,
2752
+ "loss": 0.5227,
2753
+ "step": 400
2754
+ },
2755
+ {
2756
+ "epoch": 1.12,
2757
+ "eval_loss": 0.5233827829360962,
2758
+ "eval_runtime": 26.3434,
2759
+ "eval_samples_per_second": 7.592,
2760
+ "eval_steps_per_second": 1.898,
2761
+ "step": 400
2762
+ },
2763
+ {
2764
+ "dharma_eval_accuracy": 0.3770703338947604,
2765
+ "dharma_eval_accuracy_ARC-Challenge": 0.24074074074074073,
2766
+ "dharma_eval_accuracy_ARC-Easy": 0.3148148148148148,
2767
+ "dharma_eval_accuracy_BoolQ": 0.7037037037037037,
2768
+ "dharma_eval_accuracy_MMLU": 0.2037037037037037,
2769
+ "dharma_eval_accuracy_agieval": 0.23728813559322035,
2770
+ "dharma_eval_accuracy_bigbench": 0.5081967213114754,
2771
+ "dharma_eval_accuracy_openbookqa": 0.09259259259259259,
2772
+ "dharma_eval_accuracy_truthful_qa": 0.5555555555555556,
2773
+ "dharma_eval_accuracy_winogrande": 0.5370370370370371,
2774
+ "dharma_loss": 2.5418553066253664,
2775
+ "epoch": 1.12,
2776
+ "step": 400
2777
+ }
2778
+ ],
2779
+ "max_steps": 5000,
2780
+ "num_train_epochs": 15,
2781
+ "total_flos": 1.2906498742913434e+17,
2782
+ "trial_name": null,
2783
+ "trial_params": null
2784
+ }
checkpoint-400/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a0e686fbe23782f1d8fdfb6f62df77c86b1440a419242d0d49479cf2bd76fa6f
3
+ size 5947