Commit
·
7d2f249
1
Parent(s):
45cc4fa
Add astrollama-70b-chat
Browse files- README.md +56 -1
- all_results.json +8 -0
- config.json +26 -0
- generation_config.json +10 -0
- pytorch_model-00001-of-00015.bin +3 -0
- pytorch_model-00002-of-00015.bin +3 -0
- pytorch_model-00003-of-00015.bin +3 -0
- pytorch_model-00004-of-00015.bin +3 -0
- pytorch_model-00005-of-00015.bin +3 -0
- pytorch_model-00006-of-00015.bin +3 -0
- pytorch_model-00007-of-00015.bin +3 -0
- pytorch_model-00008-of-00015.bin +3 -0
- pytorch_model-00009-of-00015.bin +3 -0
- pytorch_model-00010-of-00015.bin +3 -0
- pytorch_model-00011-of-00015.bin +3 -0
- pytorch_model-00012-of-00015.bin +3 -0
- pytorch_model-00013-of-00015.bin +3 -0
- pytorch_model-00014-of-00015.bin +3 -0
- pytorch_model-00015-of-00015.bin +3 -0
- pytorch_model.bin.index.json +730 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +34 -0
- train_results.json +8 -0
- trainer_state.json +3178 -0
- training_args.bin +3 -0
README.md
CHANGED
|
@@ -1,3 +1,58 @@
|
|
| 1 |
---
|
| 2 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
+
base_model: output_models/abot-70b_epoch-1
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
datasets:
|
| 6 |
+
- customized
|
| 7 |
+
model-index:
|
| 8 |
+
- name: abot-70b_chat
|
| 9 |
+
results: []
|
| 10 |
---
|
| 11 |
+
|
| 12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
+
|
| 15 |
+
# abot-70b_chat
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [output_models/abot-70b_epoch-1](https://huggingface.co/output_models/abot-70b_epoch-1) on the customized dataset.
|
| 18 |
+
|
| 19 |
+
## Model description
|
| 20 |
+
|
| 21 |
+
More information needed
|
| 22 |
+
|
| 23 |
+
## Intended uses & limitations
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Training and evaluation data
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training procedure
|
| 32 |
+
|
| 33 |
+
### Training hyperparameters
|
| 34 |
+
|
| 35 |
+
The following hyperparameters were used during training:
|
| 36 |
+
- learning_rate: 2e-05
|
| 37 |
+
- train_batch_size: 6
|
| 38 |
+
- eval_batch_size: 1
|
| 39 |
+
- seed: 42
|
| 40 |
+
- distributed_type: multi-GPU
|
| 41 |
+
- num_devices: 8
|
| 42 |
+
- total_train_batch_size: 48
|
| 43 |
+
- total_eval_batch_size: 8
|
| 44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 45 |
+
- lr_scheduler_type: cosine
|
| 46 |
+
- lr_scheduler_warmup_ratio: 0.03
|
| 47 |
+
- num_epochs: 1.0
|
| 48 |
+
|
| 49 |
+
### Training results
|
| 50 |
+
|
| 51 |
+
|
| 52 |
+
|
| 53 |
+
### Framework versions
|
| 54 |
+
|
| 55 |
+
- Transformers 4.33.3
|
| 56 |
+
- Pytorch 2.1.2+cu121
|
| 57 |
+
- Datasets 2.14.6
|
| 58 |
+
- Tokenizers 0.13.3
|
all_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 1.0,
|
| 3 |
+
"train_loss": 1.008456783521743,
|
| 4 |
+
"train_runtime": 75047.9043,
|
| 5 |
+
"train_samples": 25188,
|
| 6 |
+
"train_samples_per_second": 0.336,
|
| 7 |
+
"train_steps_per_second": 0.007
|
| 8 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "output_models/abot-70b_epoch-1",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"LlamaForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"bos_token_id": 1,
|
| 7 |
+
"eos_token_id": 2,
|
| 8 |
+
"hidden_act": "silu",
|
| 9 |
+
"hidden_size": 8192,
|
| 10 |
+
"initializer_range": 0.02,
|
| 11 |
+
"intermediate_size": 28672,
|
| 12 |
+
"max_position_embeddings": 4096,
|
| 13 |
+
"model_type": "llama",
|
| 14 |
+
"num_attention_heads": 64,
|
| 15 |
+
"num_hidden_layers": 80,
|
| 16 |
+
"num_key_value_heads": 8,
|
| 17 |
+
"pretraining_tp": 1,
|
| 18 |
+
"rms_norm_eps": 1e-05,
|
| 19 |
+
"rope_scaling": null,
|
| 20 |
+
"rope_theta": 10000.0,
|
| 21 |
+
"tie_word_embeddings": false,
|
| 22 |
+
"torch_dtype": "bfloat16",
|
| 23 |
+
"transformers_version": "4.33.3",
|
| 24 |
+
"use_cache": false,
|
| 25 |
+
"vocab_size": 32000
|
| 26 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 1,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": 2,
|
| 5 |
+
"max_length": 4096,
|
| 6 |
+
"pad_token_id": 0,
|
| 7 |
+
"temperature": 0.6,
|
| 8 |
+
"top_p": 0.9,
|
| 9 |
+
"transformers_version": "4.33.3"
|
| 10 |
+
}
|
pytorch_model-00001-of-00015.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e5db29118ac14cce79617b06fc19e15f0126024235e6bb22c994f113fbf8e171
|
| 3 |
+
size 9852601804
|
pytorch_model-00002-of-00015.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9b4eeb1b288020206677d3f450d543ee7e2aeae3026ca095a2573ac13fceb599
|
| 3 |
+
size 9798109380
|
pytorch_model-00003-of-00015.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9a815856abfb77884ef6594a8f9ea607e23cc7747930021266c78031c2edb874
|
| 3 |
+
size 9965880502
|
pytorch_model-00004-of-00015.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b60f72779360b00b42f11f1be04827fd969c7254fc8f6c2939636b8994589d37
|
| 3 |
+
size 9798075916
|
pytorch_model-00005-of-00015.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b1d0571830855a2394f4b3658aec75bf294db26c10ab3b31390a6717fe965be6
|
| 3 |
+
size 9798109360
|
pytorch_model-00006-of-00015.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1d039cbb94c03f0d5837e99fd5dd0184cbc93f422d1389b45cea93788f59b5c8
|
| 3 |
+
size 9798109444
|
pytorch_model-00007-of-00015.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7e9a91fc35b50d6c540092a11cecf511c88e0f991aa93b57035f4dbbed25129c
|
| 3 |
+
size 9965880502
|
pytorch_model-00008-of-00015.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cf74bd5388ad2f1bf45b8b53f58eb95f32b8e2288c2350f005eed8260f1aa9c7
|
| 3 |
+
size 9798075916
|
pytorch_model-00009-of-00015.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f8a2781df5adff73ce32d631d7c663c8ce9e3f10a537b7e8c37b76464dcdc640
|
| 3 |
+
size 9798109360
|
pytorch_model-00010-of-00015.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b87cf99609db80ca0353503455379d8bdd798dd7fd2582641a62dc35ae736a6f
|
| 3 |
+
size 9798109444
|
pytorch_model-00011-of-00015.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f58378d3e31f25ad59f4151e464202b6d16dcaf45e0ed779561c767c03859a6a
|
| 3 |
+
size 9965880502
|
pytorch_model-00012-of-00015.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8fca98344147d919b25827281190e899dfe784c36b73ddef38431e50e08662de
|
| 3 |
+
size 9798075916
|
pytorch_model-00013-of-00015.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c368feca8fcd043a0c2675fddc9e0d43d2209f8acf9d5811cd7706f1dc5ec22d
|
| 3 |
+
size 9798109360
|
pytorch_model-00014-of-00015.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:25dda728bf69b80a51c0aad413158ffb1667ddbd6f78d2a776145d6550f08a3b
|
| 3 |
+
size 9496134826
|
pytorch_model-00015-of-00015.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e4ae02d41617cb006a3dc46adb077577e6018e9a9759d6fefaaf1a871c7b6c6d
|
| 3 |
+
size 524289413
|
pytorch_model.bin.index.json
ADDED
|
@@ -0,0 +1,730 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 137953296384
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
+
"lm_head.weight": "pytorch_model-00015-of-00015.bin",
|
| 7 |
+
"model.embed_tokens.weight": "pytorch_model-00001-of-00015.bin",
|
| 8 |
+
"model.layers.0.input_layernorm.weight": "pytorch_model-00001-of-00015.bin",
|
| 9 |
+
"model.layers.0.mlp.down_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 10 |
+
"model.layers.0.mlp.gate_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 11 |
+
"model.layers.0.mlp.up_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 12 |
+
"model.layers.0.post_attention_layernorm.weight": "pytorch_model-00001-of-00015.bin",
|
| 13 |
+
"model.layers.0.self_attn.k_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 14 |
+
"model.layers.0.self_attn.o_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 15 |
+
"model.layers.0.self_attn.q_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 16 |
+
"model.layers.0.self_attn.v_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 17 |
+
"model.layers.1.input_layernorm.weight": "pytorch_model-00001-of-00015.bin",
|
| 18 |
+
"model.layers.1.mlp.down_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 19 |
+
"model.layers.1.mlp.gate_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 20 |
+
"model.layers.1.mlp.up_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 21 |
+
"model.layers.1.post_attention_layernorm.weight": "pytorch_model-00001-of-00015.bin",
|
| 22 |
+
"model.layers.1.self_attn.k_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 23 |
+
"model.layers.1.self_attn.o_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 24 |
+
"model.layers.1.self_attn.q_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 25 |
+
"model.layers.1.self_attn.v_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 26 |
+
"model.layers.10.input_layernorm.weight": "pytorch_model-00002-of-00015.bin",
|
| 27 |
+
"model.layers.10.mlp.down_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 28 |
+
"model.layers.10.mlp.gate_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 29 |
+
"model.layers.10.mlp.up_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 30 |
+
"model.layers.10.post_attention_layernorm.weight": "pytorch_model-00002-of-00015.bin",
|
| 31 |
+
"model.layers.10.self_attn.k_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 32 |
+
"model.layers.10.self_attn.o_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 33 |
+
"model.layers.10.self_attn.q_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 34 |
+
"model.layers.10.self_attn.v_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 35 |
+
"model.layers.11.input_layernorm.weight": "pytorch_model-00003-of-00015.bin",
|
| 36 |
+
"model.layers.11.mlp.down_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 37 |
+
"model.layers.11.mlp.gate_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 38 |
+
"model.layers.11.mlp.up_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 39 |
+
"model.layers.11.post_attention_layernorm.weight": "pytorch_model-00003-of-00015.bin",
|
| 40 |
+
"model.layers.11.self_attn.k_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 41 |
+
"model.layers.11.self_attn.o_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 42 |
+
"model.layers.11.self_attn.q_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 43 |
+
"model.layers.11.self_attn.v_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 44 |
+
"model.layers.12.input_layernorm.weight": "pytorch_model-00003-of-00015.bin",
|
| 45 |
+
"model.layers.12.mlp.down_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 46 |
+
"model.layers.12.mlp.gate_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 47 |
+
"model.layers.12.mlp.up_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 48 |
+
"model.layers.12.post_attention_layernorm.weight": "pytorch_model-00003-of-00015.bin",
|
| 49 |
+
"model.layers.12.self_attn.k_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 50 |
+
"model.layers.12.self_attn.o_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 51 |
+
"model.layers.12.self_attn.q_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 52 |
+
"model.layers.12.self_attn.v_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 53 |
+
"model.layers.13.input_layernorm.weight": "pytorch_model-00003-of-00015.bin",
|
| 54 |
+
"model.layers.13.mlp.down_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 55 |
+
"model.layers.13.mlp.gate_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 56 |
+
"model.layers.13.mlp.up_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 57 |
+
"model.layers.13.post_attention_layernorm.weight": "pytorch_model-00003-of-00015.bin",
|
| 58 |
+
"model.layers.13.self_attn.k_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 59 |
+
"model.layers.13.self_attn.o_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 60 |
+
"model.layers.13.self_attn.q_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 61 |
+
"model.layers.13.self_attn.v_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 62 |
+
"model.layers.14.input_layernorm.weight": "pytorch_model-00003-of-00015.bin",
|
| 63 |
+
"model.layers.14.mlp.down_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 64 |
+
"model.layers.14.mlp.gate_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 65 |
+
"model.layers.14.mlp.up_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 66 |
+
"model.layers.14.post_attention_layernorm.weight": "pytorch_model-00003-of-00015.bin",
|
| 67 |
+
"model.layers.14.self_attn.k_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 68 |
+
"model.layers.14.self_attn.o_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 69 |
+
"model.layers.14.self_attn.q_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 70 |
+
"model.layers.14.self_attn.v_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 71 |
+
"model.layers.15.input_layernorm.weight": "pytorch_model-00003-of-00015.bin",
|
| 72 |
+
"model.layers.15.mlp.down_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 73 |
+
"model.layers.15.mlp.gate_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 74 |
+
"model.layers.15.mlp.up_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 75 |
+
"model.layers.15.post_attention_layernorm.weight": "pytorch_model-00003-of-00015.bin",
|
| 76 |
+
"model.layers.15.self_attn.k_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 77 |
+
"model.layers.15.self_attn.o_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 78 |
+
"model.layers.15.self_attn.q_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 79 |
+
"model.layers.15.self_attn.v_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 80 |
+
"model.layers.16.input_layernorm.weight": "pytorch_model-00003-of-00015.bin",
|
| 81 |
+
"model.layers.16.mlp.down_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 82 |
+
"model.layers.16.mlp.gate_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 83 |
+
"model.layers.16.mlp.up_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 84 |
+
"model.layers.16.post_attention_layernorm.weight": "pytorch_model-00003-of-00015.bin",
|
| 85 |
+
"model.layers.16.self_attn.k_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 86 |
+
"model.layers.16.self_attn.o_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 87 |
+
"model.layers.16.self_attn.q_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 88 |
+
"model.layers.16.self_attn.v_proj.weight": "pytorch_model-00003-of-00015.bin",
|
| 89 |
+
"model.layers.17.input_layernorm.weight": "pytorch_model-00004-of-00015.bin",
|
| 90 |
+
"model.layers.17.mlp.down_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 91 |
+
"model.layers.17.mlp.gate_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 92 |
+
"model.layers.17.mlp.up_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 93 |
+
"model.layers.17.post_attention_layernorm.weight": "pytorch_model-00004-of-00015.bin",
|
| 94 |
+
"model.layers.17.self_attn.k_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 95 |
+
"model.layers.17.self_attn.o_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 96 |
+
"model.layers.17.self_attn.q_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 97 |
+
"model.layers.17.self_attn.v_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 98 |
+
"model.layers.18.input_layernorm.weight": "pytorch_model-00004-of-00015.bin",
|
| 99 |
+
"model.layers.18.mlp.down_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 100 |
+
"model.layers.18.mlp.gate_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 101 |
+
"model.layers.18.mlp.up_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 102 |
+
"model.layers.18.post_attention_layernorm.weight": "pytorch_model-00004-of-00015.bin",
|
| 103 |
+
"model.layers.18.self_attn.k_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 104 |
+
"model.layers.18.self_attn.o_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 105 |
+
"model.layers.18.self_attn.q_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 106 |
+
"model.layers.18.self_attn.v_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 107 |
+
"model.layers.19.input_layernorm.weight": "pytorch_model-00004-of-00015.bin",
|
| 108 |
+
"model.layers.19.mlp.down_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 109 |
+
"model.layers.19.mlp.gate_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 110 |
+
"model.layers.19.mlp.up_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 111 |
+
"model.layers.19.post_attention_layernorm.weight": "pytorch_model-00004-of-00015.bin",
|
| 112 |
+
"model.layers.19.self_attn.k_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 113 |
+
"model.layers.19.self_attn.o_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 114 |
+
"model.layers.19.self_attn.q_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 115 |
+
"model.layers.19.self_attn.v_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 116 |
+
"model.layers.2.input_layernorm.weight": "pytorch_model-00001-of-00015.bin",
|
| 117 |
+
"model.layers.2.mlp.down_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 118 |
+
"model.layers.2.mlp.gate_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 119 |
+
"model.layers.2.mlp.up_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 120 |
+
"model.layers.2.post_attention_layernorm.weight": "pytorch_model-00001-of-00015.bin",
|
| 121 |
+
"model.layers.2.self_attn.k_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 122 |
+
"model.layers.2.self_attn.o_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 123 |
+
"model.layers.2.self_attn.q_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 124 |
+
"model.layers.2.self_attn.v_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 125 |
+
"model.layers.20.input_layernorm.weight": "pytorch_model-00004-of-00015.bin",
|
| 126 |
+
"model.layers.20.mlp.down_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 127 |
+
"model.layers.20.mlp.gate_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 128 |
+
"model.layers.20.mlp.up_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 129 |
+
"model.layers.20.post_attention_layernorm.weight": "pytorch_model-00004-of-00015.bin",
|
| 130 |
+
"model.layers.20.self_attn.k_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 131 |
+
"model.layers.20.self_attn.o_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 132 |
+
"model.layers.20.self_attn.q_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 133 |
+
"model.layers.20.self_attn.v_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 134 |
+
"model.layers.21.input_layernorm.weight": "pytorch_model-00004-of-00015.bin",
|
| 135 |
+
"model.layers.21.mlp.down_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 136 |
+
"model.layers.21.mlp.gate_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 137 |
+
"model.layers.21.mlp.up_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 138 |
+
"model.layers.21.post_attention_layernorm.weight": "pytorch_model-00004-of-00015.bin",
|
| 139 |
+
"model.layers.21.self_attn.k_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 140 |
+
"model.layers.21.self_attn.o_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 141 |
+
"model.layers.21.self_attn.q_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 142 |
+
"model.layers.21.self_attn.v_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 143 |
+
"model.layers.22.input_layernorm.weight": "pytorch_model-00005-of-00015.bin",
|
| 144 |
+
"model.layers.22.mlp.down_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 145 |
+
"model.layers.22.mlp.gate_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 146 |
+
"model.layers.22.mlp.up_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 147 |
+
"model.layers.22.post_attention_layernorm.weight": "pytorch_model-00005-of-00015.bin",
|
| 148 |
+
"model.layers.22.self_attn.k_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 149 |
+
"model.layers.22.self_attn.o_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 150 |
+
"model.layers.22.self_attn.q_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 151 |
+
"model.layers.22.self_attn.v_proj.weight": "pytorch_model-00004-of-00015.bin",
|
| 152 |
+
"model.layers.23.input_layernorm.weight": "pytorch_model-00005-of-00015.bin",
|
| 153 |
+
"model.layers.23.mlp.down_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 154 |
+
"model.layers.23.mlp.gate_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 155 |
+
"model.layers.23.mlp.up_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 156 |
+
"model.layers.23.post_attention_layernorm.weight": "pytorch_model-00005-of-00015.bin",
|
| 157 |
+
"model.layers.23.self_attn.k_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 158 |
+
"model.layers.23.self_attn.o_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 159 |
+
"model.layers.23.self_attn.q_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 160 |
+
"model.layers.23.self_attn.v_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 161 |
+
"model.layers.24.input_layernorm.weight": "pytorch_model-00005-of-00015.bin",
|
| 162 |
+
"model.layers.24.mlp.down_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 163 |
+
"model.layers.24.mlp.gate_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 164 |
+
"model.layers.24.mlp.up_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 165 |
+
"model.layers.24.post_attention_layernorm.weight": "pytorch_model-00005-of-00015.bin",
|
| 166 |
+
"model.layers.24.self_attn.k_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 167 |
+
"model.layers.24.self_attn.o_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 168 |
+
"model.layers.24.self_attn.q_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 169 |
+
"model.layers.24.self_attn.v_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 170 |
+
"model.layers.25.input_layernorm.weight": "pytorch_model-00005-of-00015.bin",
|
| 171 |
+
"model.layers.25.mlp.down_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 172 |
+
"model.layers.25.mlp.gate_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 173 |
+
"model.layers.25.mlp.up_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 174 |
+
"model.layers.25.post_attention_layernorm.weight": "pytorch_model-00005-of-00015.bin",
|
| 175 |
+
"model.layers.25.self_attn.k_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 176 |
+
"model.layers.25.self_attn.o_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 177 |
+
"model.layers.25.self_attn.q_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 178 |
+
"model.layers.25.self_attn.v_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 179 |
+
"model.layers.26.input_layernorm.weight": "pytorch_model-00005-of-00015.bin",
|
| 180 |
+
"model.layers.26.mlp.down_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 181 |
+
"model.layers.26.mlp.gate_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 182 |
+
"model.layers.26.mlp.up_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 183 |
+
"model.layers.26.post_attention_layernorm.weight": "pytorch_model-00005-of-00015.bin",
|
| 184 |
+
"model.layers.26.self_attn.k_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 185 |
+
"model.layers.26.self_attn.o_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 186 |
+
"model.layers.26.self_attn.q_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 187 |
+
"model.layers.26.self_attn.v_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 188 |
+
"model.layers.27.input_layernorm.weight": "pytorch_model-00005-of-00015.bin",
|
| 189 |
+
"model.layers.27.mlp.down_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 190 |
+
"model.layers.27.mlp.gate_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 191 |
+
"model.layers.27.mlp.up_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 192 |
+
"model.layers.27.post_attention_layernorm.weight": "pytorch_model-00005-of-00015.bin",
|
| 193 |
+
"model.layers.27.self_attn.k_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 194 |
+
"model.layers.27.self_attn.o_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 195 |
+
"model.layers.27.self_attn.q_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 196 |
+
"model.layers.27.self_attn.v_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 197 |
+
"model.layers.28.input_layernorm.weight": "pytorch_model-00006-of-00015.bin",
|
| 198 |
+
"model.layers.28.mlp.down_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 199 |
+
"model.layers.28.mlp.gate_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 200 |
+
"model.layers.28.mlp.up_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 201 |
+
"model.layers.28.post_attention_layernorm.weight": "pytorch_model-00006-of-00015.bin",
|
| 202 |
+
"model.layers.28.self_attn.k_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 203 |
+
"model.layers.28.self_attn.o_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 204 |
+
"model.layers.28.self_attn.q_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 205 |
+
"model.layers.28.self_attn.v_proj.weight": "pytorch_model-00005-of-00015.bin",
|
| 206 |
+
"model.layers.29.input_layernorm.weight": "pytorch_model-00006-of-00015.bin",
|
| 207 |
+
"model.layers.29.mlp.down_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 208 |
+
"model.layers.29.mlp.gate_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 209 |
+
"model.layers.29.mlp.up_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 210 |
+
"model.layers.29.post_attention_layernorm.weight": "pytorch_model-00006-of-00015.bin",
|
| 211 |
+
"model.layers.29.self_attn.k_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 212 |
+
"model.layers.29.self_attn.o_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 213 |
+
"model.layers.29.self_attn.q_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 214 |
+
"model.layers.29.self_attn.v_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 215 |
+
"model.layers.3.input_layernorm.weight": "pytorch_model-00001-of-00015.bin",
|
| 216 |
+
"model.layers.3.mlp.down_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 217 |
+
"model.layers.3.mlp.gate_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 218 |
+
"model.layers.3.mlp.up_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 219 |
+
"model.layers.3.post_attention_layernorm.weight": "pytorch_model-00001-of-00015.bin",
|
| 220 |
+
"model.layers.3.self_attn.k_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 221 |
+
"model.layers.3.self_attn.o_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 222 |
+
"model.layers.3.self_attn.q_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 223 |
+
"model.layers.3.self_attn.v_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 224 |
+
"model.layers.30.input_layernorm.weight": "pytorch_model-00006-of-00015.bin",
|
| 225 |
+
"model.layers.30.mlp.down_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 226 |
+
"model.layers.30.mlp.gate_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 227 |
+
"model.layers.30.mlp.up_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 228 |
+
"model.layers.30.post_attention_layernorm.weight": "pytorch_model-00006-of-00015.bin",
|
| 229 |
+
"model.layers.30.self_attn.k_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 230 |
+
"model.layers.30.self_attn.o_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 231 |
+
"model.layers.30.self_attn.q_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 232 |
+
"model.layers.30.self_attn.v_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 233 |
+
"model.layers.31.input_layernorm.weight": "pytorch_model-00006-of-00015.bin",
|
| 234 |
+
"model.layers.31.mlp.down_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 235 |
+
"model.layers.31.mlp.gate_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 236 |
+
"model.layers.31.mlp.up_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 237 |
+
"model.layers.31.post_attention_layernorm.weight": "pytorch_model-00006-of-00015.bin",
|
| 238 |
+
"model.layers.31.self_attn.k_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 239 |
+
"model.layers.31.self_attn.o_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 240 |
+
"model.layers.31.self_attn.q_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 241 |
+
"model.layers.31.self_attn.v_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 242 |
+
"model.layers.32.input_layernorm.weight": "pytorch_model-00006-of-00015.bin",
|
| 243 |
+
"model.layers.32.mlp.down_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 244 |
+
"model.layers.32.mlp.gate_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 245 |
+
"model.layers.32.mlp.up_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 246 |
+
"model.layers.32.post_attention_layernorm.weight": "pytorch_model-00006-of-00015.bin",
|
| 247 |
+
"model.layers.32.self_attn.k_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 248 |
+
"model.layers.32.self_attn.o_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 249 |
+
"model.layers.32.self_attn.q_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 250 |
+
"model.layers.32.self_attn.v_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 251 |
+
"model.layers.33.input_layernorm.weight": "pytorch_model-00006-of-00015.bin",
|
| 252 |
+
"model.layers.33.mlp.down_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 253 |
+
"model.layers.33.mlp.gate_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 254 |
+
"model.layers.33.mlp.up_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 255 |
+
"model.layers.33.post_attention_layernorm.weight": "pytorch_model-00006-of-00015.bin",
|
| 256 |
+
"model.layers.33.self_attn.k_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 257 |
+
"model.layers.33.self_attn.o_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 258 |
+
"model.layers.33.self_attn.q_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 259 |
+
"model.layers.33.self_attn.v_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 260 |
+
"model.layers.34.input_layernorm.weight": "pytorch_model-00007-of-00015.bin",
|
| 261 |
+
"model.layers.34.mlp.down_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 262 |
+
"model.layers.34.mlp.gate_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 263 |
+
"model.layers.34.mlp.up_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 264 |
+
"model.layers.34.post_attention_layernorm.weight": "pytorch_model-00007-of-00015.bin",
|
| 265 |
+
"model.layers.34.self_attn.k_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 266 |
+
"model.layers.34.self_attn.o_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 267 |
+
"model.layers.34.self_attn.q_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 268 |
+
"model.layers.34.self_attn.v_proj.weight": "pytorch_model-00006-of-00015.bin",
|
| 269 |
+
"model.layers.35.input_layernorm.weight": "pytorch_model-00007-of-00015.bin",
|
| 270 |
+
"model.layers.35.mlp.down_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 271 |
+
"model.layers.35.mlp.gate_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 272 |
+
"model.layers.35.mlp.up_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 273 |
+
"model.layers.35.post_attention_layernorm.weight": "pytorch_model-00007-of-00015.bin",
|
| 274 |
+
"model.layers.35.self_attn.k_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 275 |
+
"model.layers.35.self_attn.o_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 276 |
+
"model.layers.35.self_attn.q_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 277 |
+
"model.layers.35.self_attn.v_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 278 |
+
"model.layers.36.input_layernorm.weight": "pytorch_model-00007-of-00015.bin",
|
| 279 |
+
"model.layers.36.mlp.down_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 280 |
+
"model.layers.36.mlp.gate_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 281 |
+
"model.layers.36.mlp.up_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 282 |
+
"model.layers.36.post_attention_layernorm.weight": "pytorch_model-00007-of-00015.bin",
|
| 283 |
+
"model.layers.36.self_attn.k_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 284 |
+
"model.layers.36.self_attn.o_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 285 |
+
"model.layers.36.self_attn.q_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 286 |
+
"model.layers.36.self_attn.v_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 287 |
+
"model.layers.37.input_layernorm.weight": "pytorch_model-00007-of-00015.bin",
|
| 288 |
+
"model.layers.37.mlp.down_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 289 |
+
"model.layers.37.mlp.gate_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 290 |
+
"model.layers.37.mlp.up_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 291 |
+
"model.layers.37.post_attention_layernorm.weight": "pytorch_model-00007-of-00015.bin",
|
| 292 |
+
"model.layers.37.self_attn.k_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 293 |
+
"model.layers.37.self_attn.o_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 294 |
+
"model.layers.37.self_attn.q_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 295 |
+
"model.layers.37.self_attn.v_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 296 |
+
"model.layers.38.input_layernorm.weight": "pytorch_model-00007-of-00015.bin",
|
| 297 |
+
"model.layers.38.mlp.down_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 298 |
+
"model.layers.38.mlp.gate_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 299 |
+
"model.layers.38.mlp.up_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 300 |
+
"model.layers.38.post_attention_layernorm.weight": "pytorch_model-00007-of-00015.bin",
|
| 301 |
+
"model.layers.38.self_attn.k_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 302 |
+
"model.layers.38.self_attn.o_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 303 |
+
"model.layers.38.self_attn.q_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 304 |
+
"model.layers.38.self_attn.v_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 305 |
+
"model.layers.39.input_layernorm.weight": "pytorch_model-00007-of-00015.bin",
|
| 306 |
+
"model.layers.39.mlp.down_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 307 |
+
"model.layers.39.mlp.gate_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 308 |
+
"model.layers.39.mlp.up_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 309 |
+
"model.layers.39.post_attention_layernorm.weight": "pytorch_model-00007-of-00015.bin",
|
| 310 |
+
"model.layers.39.self_attn.k_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 311 |
+
"model.layers.39.self_attn.o_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 312 |
+
"model.layers.39.self_attn.q_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 313 |
+
"model.layers.39.self_attn.v_proj.weight": "pytorch_model-00007-of-00015.bin",
|
| 314 |
+
"model.layers.4.input_layernorm.weight": "pytorch_model-00001-of-00015.bin",
|
| 315 |
+
"model.layers.4.mlp.down_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 316 |
+
"model.layers.4.mlp.gate_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 317 |
+
"model.layers.4.mlp.up_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 318 |
+
"model.layers.4.post_attention_layernorm.weight": "pytorch_model-00001-of-00015.bin",
|
| 319 |
+
"model.layers.4.self_attn.k_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 320 |
+
"model.layers.4.self_attn.o_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 321 |
+
"model.layers.4.self_attn.q_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 322 |
+
"model.layers.4.self_attn.v_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 323 |
+
"model.layers.40.input_layernorm.weight": "pytorch_model-00008-of-00015.bin",
|
| 324 |
+
"model.layers.40.mlp.down_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 325 |
+
"model.layers.40.mlp.gate_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 326 |
+
"model.layers.40.mlp.up_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 327 |
+
"model.layers.40.post_attention_layernorm.weight": "pytorch_model-00008-of-00015.bin",
|
| 328 |
+
"model.layers.40.self_attn.k_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 329 |
+
"model.layers.40.self_attn.o_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 330 |
+
"model.layers.40.self_attn.q_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 331 |
+
"model.layers.40.self_attn.v_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 332 |
+
"model.layers.41.input_layernorm.weight": "pytorch_model-00008-of-00015.bin",
|
| 333 |
+
"model.layers.41.mlp.down_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 334 |
+
"model.layers.41.mlp.gate_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 335 |
+
"model.layers.41.mlp.up_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 336 |
+
"model.layers.41.post_attention_layernorm.weight": "pytorch_model-00008-of-00015.bin",
|
| 337 |
+
"model.layers.41.self_attn.k_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 338 |
+
"model.layers.41.self_attn.o_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 339 |
+
"model.layers.41.self_attn.q_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 340 |
+
"model.layers.41.self_attn.v_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 341 |
+
"model.layers.42.input_layernorm.weight": "pytorch_model-00008-of-00015.bin",
|
| 342 |
+
"model.layers.42.mlp.down_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 343 |
+
"model.layers.42.mlp.gate_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 344 |
+
"model.layers.42.mlp.up_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 345 |
+
"model.layers.42.post_attention_layernorm.weight": "pytorch_model-00008-of-00015.bin",
|
| 346 |
+
"model.layers.42.self_attn.k_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 347 |
+
"model.layers.42.self_attn.o_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 348 |
+
"model.layers.42.self_attn.q_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 349 |
+
"model.layers.42.self_attn.v_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 350 |
+
"model.layers.43.input_layernorm.weight": "pytorch_model-00008-of-00015.bin",
|
| 351 |
+
"model.layers.43.mlp.down_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 352 |
+
"model.layers.43.mlp.gate_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 353 |
+
"model.layers.43.mlp.up_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 354 |
+
"model.layers.43.post_attention_layernorm.weight": "pytorch_model-00008-of-00015.bin",
|
| 355 |
+
"model.layers.43.self_attn.k_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 356 |
+
"model.layers.43.self_attn.o_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 357 |
+
"model.layers.43.self_attn.q_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 358 |
+
"model.layers.43.self_attn.v_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 359 |
+
"model.layers.44.input_layernorm.weight": "pytorch_model-00008-of-00015.bin",
|
| 360 |
+
"model.layers.44.mlp.down_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 361 |
+
"model.layers.44.mlp.gate_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 362 |
+
"model.layers.44.mlp.up_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 363 |
+
"model.layers.44.post_attention_layernorm.weight": "pytorch_model-00008-of-00015.bin",
|
| 364 |
+
"model.layers.44.self_attn.k_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 365 |
+
"model.layers.44.self_attn.o_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 366 |
+
"model.layers.44.self_attn.q_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 367 |
+
"model.layers.44.self_attn.v_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 368 |
+
"model.layers.45.input_layernorm.weight": "pytorch_model-00009-of-00015.bin",
|
| 369 |
+
"model.layers.45.mlp.down_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 370 |
+
"model.layers.45.mlp.gate_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 371 |
+
"model.layers.45.mlp.up_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 372 |
+
"model.layers.45.post_attention_layernorm.weight": "pytorch_model-00009-of-00015.bin",
|
| 373 |
+
"model.layers.45.self_attn.k_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 374 |
+
"model.layers.45.self_attn.o_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 375 |
+
"model.layers.45.self_attn.q_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 376 |
+
"model.layers.45.self_attn.v_proj.weight": "pytorch_model-00008-of-00015.bin",
|
| 377 |
+
"model.layers.46.input_layernorm.weight": "pytorch_model-00009-of-00015.bin",
|
| 378 |
+
"model.layers.46.mlp.down_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 379 |
+
"model.layers.46.mlp.gate_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 380 |
+
"model.layers.46.mlp.up_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 381 |
+
"model.layers.46.post_attention_layernorm.weight": "pytorch_model-00009-of-00015.bin",
|
| 382 |
+
"model.layers.46.self_attn.k_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 383 |
+
"model.layers.46.self_attn.o_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 384 |
+
"model.layers.46.self_attn.q_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 385 |
+
"model.layers.46.self_attn.v_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 386 |
+
"model.layers.47.input_layernorm.weight": "pytorch_model-00009-of-00015.bin",
|
| 387 |
+
"model.layers.47.mlp.down_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 388 |
+
"model.layers.47.mlp.gate_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 389 |
+
"model.layers.47.mlp.up_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 390 |
+
"model.layers.47.post_attention_layernorm.weight": "pytorch_model-00009-of-00015.bin",
|
| 391 |
+
"model.layers.47.self_attn.k_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 392 |
+
"model.layers.47.self_attn.o_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 393 |
+
"model.layers.47.self_attn.q_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 394 |
+
"model.layers.47.self_attn.v_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 395 |
+
"model.layers.48.input_layernorm.weight": "pytorch_model-00009-of-00015.bin",
|
| 396 |
+
"model.layers.48.mlp.down_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 397 |
+
"model.layers.48.mlp.gate_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 398 |
+
"model.layers.48.mlp.up_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 399 |
+
"model.layers.48.post_attention_layernorm.weight": "pytorch_model-00009-of-00015.bin",
|
| 400 |
+
"model.layers.48.self_attn.k_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 401 |
+
"model.layers.48.self_attn.o_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 402 |
+
"model.layers.48.self_attn.q_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 403 |
+
"model.layers.48.self_attn.v_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 404 |
+
"model.layers.49.input_layernorm.weight": "pytorch_model-00009-of-00015.bin",
|
| 405 |
+
"model.layers.49.mlp.down_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 406 |
+
"model.layers.49.mlp.gate_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 407 |
+
"model.layers.49.mlp.up_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 408 |
+
"model.layers.49.post_attention_layernorm.weight": "pytorch_model-00009-of-00015.bin",
|
| 409 |
+
"model.layers.49.self_attn.k_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 410 |
+
"model.layers.49.self_attn.o_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 411 |
+
"model.layers.49.self_attn.q_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 412 |
+
"model.layers.49.self_attn.v_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 413 |
+
"model.layers.5.input_layernorm.weight": "pytorch_model-00002-of-00015.bin",
|
| 414 |
+
"model.layers.5.mlp.down_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 415 |
+
"model.layers.5.mlp.gate_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 416 |
+
"model.layers.5.mlp.up_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 417 |
+
"model.layers.5.post_attention_layernorm.weight": "pytorch_model-00002-of-00015.bin",
|
| 418 |
+
"model.layers.5.self_attn.k_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 419 |
+
"model.layers.5.self_attn.o_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 420 |
+
"model.layers.5.self_attn.q_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 421 |
+
"model.layers.5.self_attn.v_proj.weight": "pytorch_model-00001-of-00015.bin",
|
| 422 |
+
"model.layers.50.input_layernorm.weight": "pytorch_model-00009-of-00015.bin",
|
| 423 |
+
"model.layers.50.mlp.down_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 424 |
+
"model.layers.50.mlp.gate_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 425 |
+
"model.layers.50.mlp.up_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 426 |
+
"model.layers.50.post_attention_layernorm.weight": "pytorch_model-00009-of-00015.bin",
|
| 427 |
+
"model.layers.50.self_attn.k_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 428 |
+
"model.layers.50.self_attn.o_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 429 |
+
"model.layers.50.self_attn.q_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 430 |
+
"model.layers.50.self_attn.v_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 431 |
+
"model.layers.51.input_layernorm.weight": "pytorch_model-00010-of-00015.bin",
|
| 432 |
+
"model.layers.51.mlp.down_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 433 |
+
"model.layers.51.mlp.gate_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 434 |
+
"model.layers.51.mlp.up_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 435 |
+
"model.layers.51.post_attention_layernorm.weight": "pytorch_model-00010-of-00015.bin",
|
| 436 |
+
"model.layers.51.self_attn.k_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 437 |
+
"model.layers.51.self_attn.o_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 438 |
+
"model.layers.51.self_attn.q_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 439 |
+
"model.layers.51.self_attn.v_proj.weight": "pytorch_model-00009-of-00015.bin",
|
| 440 |
+
"model.layers.52.input_layernorm.weight": "pytorch_model-00010-of-00015.bin",
|
| 441 |
+
"model.layers.52.mlp.down_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 442 |
+
"model.layers.52.mlp.gate_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 443 |
+
"model.layers.52.mlp.up_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 444 |
+
"model.layers.52.post_attention_layernorm.weight": "pytorch_model-00010-of-00015.bin",
|
| 445 |
+
"model.layers.52.self_attn.k_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 446 |
+
"model.layers.52.self_attn.o_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 447 |
+
"model.layers.52.self_attn.q_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 448 |
+
"model.layers.52.self_attn.v_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 449 |
+
"model.layers.53.input_layernorm.weight": "pytorch_model-00010-of-00015.bin",
|
| 450 |
+
"model.layers.53.mlp.down_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 451 |
+
"model.layers.53.mlp.gate_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 452 |
+
"model.layers.53.mlp.up_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 453 |
+
"model.layers.53.post_attention_layernorm.weight": "pytorch_model-00010-of-00015.bin",
|
| 454 |
+
"model.layers.53.self_attn.k_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 455 |
+
"model.layers.53.self_attn.o_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 456 |
+
"model.layers.53.self_attn.q_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 457 |
+
"model.layers.53.self_attn.v_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 458 |
+
"model.layers.54.input_layernorm.weight": "pytorch_model-00010-of-00015.bin",
|
| 459 |
+
"model.layers.54.mlp.down_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 460 |
+
"model.layers.54.mlp.gate_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 461 |
+
"model.layers.54.mlp.up_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 462 |
+
"model.layers.54.post_attention_layernorm.weight": "pytorch_model-00010-of-00015.bin",
|
| 463 |
+
"model.layers.54.self_attn.k_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 464 |
+
"model.layers.54.self_attn.o_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 465 |
+
"model.layers.54.self_attn.q_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 466 |
+
"model.layers.54.self_attn.v_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 467 |
+
"model.layers.55.input_layernorm.weight": "pytorch_model-00010-of-00015.bin",
|
| 468 |
+
"model.layers.55.mlp.down_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 469 |
+
"model.layers.55.mlp.gate_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 470 |
+
"model.layers.55.mlp.up_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 471 |
+
"model.layers.55.post_attention_layernorm.weight": "pytorch_model-00010-of-00015.bin",
|
| 472 |
+
"model.layers.55.self_attn.k_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 473 |
+
"model.layers.55.self_attn.o_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 474 |
+
"model.layers.55.self_attn.q_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 475 |
+
"model.layers.55.self_attn.v_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 476 |
+
"model.layers.56.input_layernorm.weight": "pytorch_model-00010-of-00015.bin",
|
| 477 |
+
"model.layers.56.mlp.down_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 478 |
+
"model.layers.56.mlp.gate_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 479 |
+
"model.layers.56.mlp.up_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 480 |
+
"model.layers.56.post_attention_layernorm.weight": "pytorch_model-00010-of-00015.bin",
|
| 481 |
+
"model.layers.56.self_attn.k_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 482 |
+
"model.layers.56.self_attn.o_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 483 |
+
"model.layers.56.self_attn.q_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 484 |
+
"model.layers.56.self_attn.v_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 485 |
+
"model.layers.57.input_layernorm.weight": "pytorch_model-00011-of-00015.bin",
|
| 486 |
+
"model.layers.57.mlp.down_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 487 |
+
"model.layers.57.mlp.gate_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 488 |
+
"model.layers.57.mlp.up_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 489 |
+
"model.layers.57.post_attention_layernorm.weight": "pytorch_model-00011-of-00015.bin",
|
| 490 |
+
"model.layers.57.self_attn.k_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 491 |
+
"model.layers.57.self_attn.o_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 492 |
+
"model.layers.57.self_attn.q_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 493 |
+
"model.layers.57.self_attn.v_proj.weight": "pytorch_model-00010-of-00015.bin",
|
| 494 |
+
"model.layers.58.input_layernorm.weight": "pytorch_model-00011-of-00015.bin",
|
| 495 |
+
"model.layers.58.mlp.down_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 496 |
+
"model.layers.58.mlp.gate_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 497 |
+
"model.layers.58.mlp.up_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 498 |
+
"model.layers.58.post_attention_layernorm.weight": "pytorch_model-00011-of-00015.bin",
|
| 499 |
+
"model.layers.58.self_attn.k_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 500 |
+
"model.layers.58.self_attn.o_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 501 |
+
"model.layers.58.self_attn.q_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 502 |
+
"model.layers.58.self_attn.v_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 503 |
+
"model.layers.59.input_layernorm.weight": "pytorch_model-00011-of-00015.bin",
|
| 504 |
+
"model.layers.59.mlp.down_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 505 |
+
"model.layers.59.mlp.gate_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 506 |
+
"model.layers.59.mlp.up_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 507 |
+
"model.layers.59.post_attention_layernorm.weight": "pytorch_model-00011-of-00015.bin",
|
| 508 |
+
"model.layers.59.self_attn.k_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 509 |
+
"model.layers.59.self_attn.o_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 510 |
+
"model.layers.59.self_attn.q_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 511 |
+
"model.layers.59.self_attn.v_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 512 |
+
"model.layers.6.input_layernorm.weight": "pytorch_model-00002-of-00015.bin",
|
| 513 |
+
"model.layers.6.mlp.down_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 514 |
+
"model.layers.6.mlp.gate_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 515 |
+
"model.layers.6.mlp.up_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 516 |
+
"model.layers.6.post_attention_layernorm.weight": "pytorch_model-00002-of-00015.bin",
|
| 517 |
+
"model.layers.6.self_attn.k_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 518 |
+
"model.layers.6.self_attn.o_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 519 |
+
"model.layers.6.self_attn.q_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 520 |
+
"model.layers.6.self_attn.v_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 521 |
+
"model.layers.60.input_layernorm.weight": "pytorch_model-00011-of-00015.bin",
|
| 522 |
+
"model.layers.60.mlp.down_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 523 |
+
"model.layers.60.mlp.gate_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 524 |
+
"model.layers.60.mlp.up_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 525 |
+
"model.layers.60.post_attention_layernorm.weight": "pytorch_model-00011-of-00015.bin",
|
| 526 |
+
"model.layers.60.self_attn.k_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 527 |
+
"model.layers.60.self_attn.o_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 528 |
+
"model.layers.60.self_attn.q_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 529 |
+
"model.layers.60.self_attn.v_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 530 |
+
"model.layers.61.input_layernorm.weight": "pytorch_model-00011-of-00015.bin",
|
| 531 |
+
"model.layers.61.mlp.down_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 532 |
+
"model.layers.61.mlp.gate_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 533 |
+
"model.layers.61.mlp.up_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 534 |
+
"model.layers.61.post_attention_layernorm.weight": "pytorch_model-00011-of-00015.bin",
|
| 535 |
+
"model.layers.61.self_attn.k_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 536 |
+
"model.layers.61.self_attn.o_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 537 |
+
"model.layers.61.self_attn.q_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 538 |
+
"model.layers.61.self_attn.v_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 539 |
+
"model.layers.62.input_layernorm.weight": "pytorch_model-00011-of-00015.bin",
|
| 540 |
+
"model.layers.62.mlp.down_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 541 |
+
"model.layers.62.mlp.gate_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 542 |
+
"model.layers.62.mlp.up_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 543 |
+
"model.layers.62.post_attention_layernorm.weight": "pytorch_model-00011-of-00015.bin",
|
| 544 |
+
"model.layers.62.self_attn.k_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 545 |
+
"model.layers.62.self_attn.o_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 546 |
+
"model.layers.62.self_attn.q_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 547 |
+
"model.layers.62.self_attn.v_proj.weight": "pytorch_model-00011-of-00015.bin",
|
| 548 |
+
"model.layers.63.input_layernorm.weight": "pytorch_model-00012-of-00015.bin",
|
| 549 |
+
"model.layers.63.mlp.down_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 550 |
+
"model.layers.63.mlp.gate_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 551 |
+
"model.layers.63.mlp.up_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 552 |
+
"model.layers.63.post_attention_layernorm.weight": "pytorch_model-00012-of-00015.bin",
|
| 553 |
+
"model.layers.63.self_attn.k_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 554 |
+
"model.layers.63.self_attn.o_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 555 |
+
"model.layers.63.self_attn.q_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 556 |
+
"model.layers.63.self_attn.v_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 557 |
+
"model.layers.64.input_layernorm.weight": "pytorch_model-00012-of-00015.bin",
|
| 558 |
+
"model.layers.64.mlp.down_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 559 |
+
"model.layers.64.mlp.gate_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 560 |
+
"model.layers.64.mlp.up_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 561 |
+
"model.layers.64.post_attention_layernorm.weight": "pytorch_model-00012-of-00015.bin",
|
| 562 |
+
"model.layers.64.self_attn.k_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 563 |
+
"model.layers.64.self_attn.o_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 564 |
+
"model.layers.64.self_attn.q_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 565 |
+
"model.layers.64.self_attn.v_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 566 |
+
"model.layers.65.input_layernorm.weight": "pytorch_model-00012-of-00015.bin",
|
| 567 |
+
"model.layers.65.mlp.down_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 568 |
+
"model.layers.65.mlp.gate_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 569 |
+
"model.layers.65.mlp.up_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 570 |
+
"model.layers.65.post_attention_layernorm.weight": "pytorch_model-00012-of-00015.bin",
|
| 571 |
+
"model.layers.65.self_attn.k_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 572 |
+
"model.layers.65.self_attn.o_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 573 |
+
"model.layers.65.self_attn.q_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 574 |
+
"model.layers.65.self_attn.v_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 575 |
+
"model.layers.66.input_layernorm.weight": "pytorch_model-00012-of-00015.bin",
|
| 576 |
+
"model.layers.66.mlp.down_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 577 |
+
"model.layers.66.mlp.gate_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 578 |
+
"model.layers.66.mlp.up_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 579 |
+
"model.layers.66.post_attention_layernorm.weight": "pytorch_model-00012-of-00015.bin",
|
| 580 |
+
"model.layers.66.self_attn.k_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 581 |
+
"model.layers.66.self_attn.o_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 582 |
+
"model.layers.66.self_attn.q_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 583 |
+
"model.layers.66.self_attn.v_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 584 |
+
"model.layers.67.input_layernorm.weight": "pytorch_model-00012-of-00015.bin",
|
| 585 |
+
"model.layers.67.mlp.down_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 586 |
+
"model.layers.67.mlp.gate_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 587 |
+
"model.layers.67.mlp.up_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 588 |
+
"model.layers.67.post_attention_layernorm.weight": "pytorch_model-00012-of-00015.bin",
|
| 589 |
+
"model.layers.67.self_attn.k_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 590 |
+
"model.layers.67.self_attn.o_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 591 |
+
"model.layers.67.self_attn.q_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 592 |
+
"model.layers.67.self_attn.v_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 593 |
+
"model.layers.68.input_layernorm.weight": "pytorch_model-00013-of-00015.bin",
|
| 594 |
+
"model.layers.68.mlp.down_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 595 |
+
"model.layers.68.mlp.gate_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 596 |
+
"model.layers.68.mlp.up_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 597 |
+
"model.layers.68.post_attention_layernorm.weight": "pytorch_model-00013-of-00015.bin",
|
| 598 |
+
"model.layers.68.self_attn.k_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 599 |
+
"model.layers.68.self_attn.o_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 600 |
+
"model.layers.68.self_attn.q_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 601 |
+
"model.layers.68.self_attn.v_proj.weight": "pytorch_model-00012-of-00015.bin",
|
| 602 |
+
"model.layers.69.input_layernorm.weight": "pytorch_model-00013-of-00015.bin",
|
| 603 |
+
"model.layers.69.mlp.down_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 604 |
+
"model.layers.69.mlp.gate_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 605 |
+
"model.layers.69.mlp.up_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 606 |
+
"model.layers.69.post_attention_layernorm.weight": "pytorch_model-00013-of-00015.bin",
|
| 607 |
+
"model.layers.69.self_attn.k_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 608 |
+
"model.layers.69.self_attn.o_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 609 |
+
"model.layers.69.self_attn.q_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 610 |
+
"model.layers.69.self_attn.v_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 611 |
+
"model.layers.7.input_layernorm.weight": "pytorch_model-00002-of-00015.bin",
|
| 612 |
+
"model.layers.7.mlp.down_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 613 |
+
"model.layers.7.mlp.gate_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 614 |
+
"model.layers.7.mlp.up_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 615 |
+
"model.layers.7.post_attention_layernorm.weight": "pytorch_model-00002-of-00015.bin",
|
| 616 |
+
"model.layers.7.self_attn.k_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 617 |
+
"model.layers.7.self_attn.o_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 618 |
+
"model.layers.7.self_attn.q_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 619 |
+
"model.layers.7.self_attn.v_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 620 |
+
"model.layers.70.input_layernorm.weight": "pytorch_model-00013-of-00015.bin",
|
| 621 |
+
"model.layers.70.mlp.down_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 622 |
+
"model.layers.70.mlp.gate_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 623 |
+
"model.layers.70.mlp.up_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 624 |
+
"model.layers.70.post_attention_layernorm.weight": "pytorch_model-00013-of-00015.bin",
|
| 625 |
+
"model.layers.70.self_attn.k_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 626 |
+
"model.layers.70.self_attn.o_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 627 |
+
"model.layers.70.self_attn.q_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 628 |
+
"model.layers.70.self_attn.v_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 629 |
+
"model.layers.71.input_layernorm.weight": "pytorch_model-00013-of-00015.bin",
|
| 630 |
+
"model.layers.71.mlp.down_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 631 |
+
"model.layers.71.mlp.gate_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 632 |
+
"model.layers.71.mlp.up_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 633 |
+
"model.layers.71.post_attention_layernorm.weight": "pytorch_model-00013-of-00015.bin",
|
| 634 |
+
"model.layers.71.self_attn.k_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 635 |
+
"model.layers.71.self_attn.o_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 636 |
+
"model.layers.71.self_attn.q_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 637 |
+
"model.layers.71.self_attn.v_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 638 |
+
"model.layers.72.input_layernorm.weight": "pytorch_model-00013-of-00015.bin",
|
| 639 |
+
"model.layers.72.mlp.down_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 640 |
+
"model.layers.72.mlp.gate_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 641 |
+
"model.layers.72.mlp.up_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 642 |
+
"model.layers.72.post_attention_layernorm.weight": "pytorch_model-00013-of-00015.bin",
|
| 643 |
+
"model.layers.72.self_attn.k_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 644 |
+
"model.layers.72.self_attn.o_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 645 |
+
"model.layers.72.self_attn.q_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 646 |
+
"model.layers.72.self_attn.v_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 647 |
+
"model.layers.73.input_layernorm.weight": "pytorch_model-00013-of-00015.bin",
|
| 648 |
+
"model.layers.73.mlp.down_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 649 |
+
"model.layers.73.mlp.gate_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 650 |
+
"model.layers.73.mlp.up_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 651 |
+
"model.layers.73.post_attention_layernorm.weight": "pytorch_model-00013-of-00015.bin",
|
| 652 |
+
"model.layers.73.self_attn.k_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 653 |
+
"model.layers.73.self_attn.o_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 654 |
+
"model.layers.73.self_attn.q_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 655 |
+
"model.layers.73.self_attn.v_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 656 |
+
"model.layers.74.input_layernorm.weight": "pytorch_model-00014-of-00015.bin",
|
| 657 |
+
"model.layers.74.mlp.down_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 658 |
+
"model.layers.74.mlp.gate_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 659 |
+
"model.layers.74.mlp.up_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 660 |
+
"model.layers.74.post_attention_layernorm.weight": "pytorch_model-00014-of-00015.bin",
|
| 661 |
+
"model.layers.74.self_attn.k_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 662 |
+
"model.layers.74.self_attn.o_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 663 |
+
"model.layers.74.self_attn.q_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 664 |
+
"model.layers.74.self_attn.v_proj.weight": "pytorch_model-00013-of-00015.bin",
|
| 665 |
+
"model.layers.75.input_layernorm.weight": "pytorch_model-00014-of-00015.bin",
|
| 666 |
+
"model.layers.75.mlp.down_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 667 |
+
"model.layers.75.mlp.gate_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 668 |
+
"model.layers.75.mlp.up_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 669 |
+
"model.layers.75.post_attention_layernorm.weight": "pytorch_model-00014-of-00015.bin",
|
| 670 |
+
"model.layers.75.self_attn.k_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 671 |
+
"model.layers.75.self_attn.o_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 672 |
+
"model.layers.75.self_attn.q_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 673 |
+
"model.layers.75.self_attn.v_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 674 |
+
"model.layers.76.input_layernorm.weight": "pytorch_model-00014-of-00015.bin",
|
| 675 |
+
"model.layers.76.mlp.down_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 676 |
+
"model.layers.76.mlp.gate_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 677 |
+
"model.layers.76.mlp.up_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 678 |
+
"model.layers.76.post_attention_layernorm.weight": "pytorch_model-00014-of-00015.bin",
|
| 679 |
+
"model.layers.76.self_attn.k_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 680 |
+
"model.layers.76.self_attn.o_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 681 |
+
"model.layers.76.self_attn.q_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 682 |
+
"model.layers.76.self_attn.v_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 683 |
+
"model.layers.77.input_layernorm.weight": "pytorch_model-00014-of-00015.bin",
|
| 684 |
+
"model.layers.77.mlp.down_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 685 |
+
"model.layers.77.mlp.gate_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 686 |
+
"model.layers.77.mlp.up_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 687 |
+
"model.layers.77.post_attention_layernorm.weight": "pytorch_model-00014-of-00015.bin",
|
| 688 |
+
"model.layers.77.self_attn.k_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 689 |
+
"model.layers.77.self_attn.o_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 690 |
+
"model.layers.77.self_attn.q_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 691 |
+
"model.layers.77.self_attn.v_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 692 |
+
"model.layers.78.input_layernorm.weight": "pytorch_model-00014-of-00015.bin",
|
| 693 |
+
"model.layers.78.mlp.down_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 694 |
+
"model.layers.78.mlp.gate_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 695 |
+
"model.layers.78.mlp.up_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 696 |
+
"model.layers.78.post_attention_layernorm.weight": "pytorch_model-00014-of-00015.bin",
|
| 697 |
+
"model.layers.78.self_attn.k_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 698 |
+
"model.layers.78.self_attn.o_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 699 |
+
"model.layers.78.self_attn.q_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 700 |
+
"model.layers.78.self_attn.v_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 701 |
+
"model.layers.79.input_layernorm.weight": "pytorch_model-00014-of-00015.bin",
|
| 702 |
+
"model.layers.79.mlp.down_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 703 |
+
"model.layers.79.mlp.gate_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 704 |
+
"model.layers.79.mlp.up_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 705 |
+
"model.layers.79.post_attention_layernorm.weight": "pytorch_model-00014-of-00015.bin",
|
| 706 |
+
"model.layers.79.self_attn.k_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 707 |
+
"model.layers.79.self_attn.o_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 708 |
+
"model.layers.79.self_attn.q_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 709 |
+
"model.layers.79.self_attn.v_proj.weight": "pytorch_model-00014-of-00015.bin",
|
| 710 |
+
"model.layers.8.input_layernorm.weight": "pytorch_model-00002-of-00015.bin",
|
| 711 |
+
"model.layers.8.mlp.down_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 712 |
+
"model.layers.8.mlp.gate_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 713 |
+
"model.layers.8.mlp.up_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 714 |
+
"model.layers.8.post_attention_layernorm.weight": "pytorch_model-00002-of-00015.bin",
|
| 715 |
+
"model.layers.8.self_attn.k_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 716 |
+
"model.layers.8.self_attn.o_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 717 |
+
"model.layers.8.self_attn.q_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 718 |
+
"model.layers.8.self_attn.v_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 719 |
+
"model.layers.9.input_layernorm.weight": "pytorch_model-00002-of-00015.bin",
|
| 720 |
+
"model.layers.9.mlp.down_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 721 |
+
"model.layers.9.mlp.gate_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 722 |
+
"model.layers.9.mlp.up_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 723 |
+
"model.layers.9.post_attention_layernorm.weight": "pytorch_model-00002-of-00015.bin",
|
| 724 |
+
"model.layers.9.self_attn.k_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 725 |
+
"model.layers.9.self_attn.o_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 726 |
+
"model.layers.9.self_attn.q_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 727 |
+
"model.layers.9.self_attn.v_proj.weight": "pytorch_model-00002-of-00015.bin",
|
| 728 |
+
"model.norm.weight": "pytorch_model-00014-of-00015.bin"
|
| 729 |
+
}
|
| 730 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "</s>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
| 3 |
+
size 499723
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"__type": "AddedToken",
|
| 4 |
+
"content": "<s>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 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": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false
|
| 18 |
+
},
|
| 19 |
+
"legacy": false,
|
| 20 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 21 |
+
"pad_token": null,
|
| 22 |
+
"padding_side": "right",
|
| 23 |
+
"sp_model_kwargs": {},
|
| 24 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 25 |
+
"unk_token": {
|
| 26 |
+
"__type": "AddedToken",
|
| 27 |
+
"content": "<unk>",
|
| 28 |
+
"lstrip": false,
|
| 29 |
+
"normalized": false,
|
| 30 |
+
"rstrip": false,
|
| 31 |
+
"single_word": false
|
| 32 |
+
},
|
| 33 |
+
"use_default_system_prompt": true
|
| 34 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 1.0,
|
| 3 |
+
"train_loss": 1.008456783521743,
|
| 4 |
+
"train_runtime": 75047.9043,
|
| 5 |
+
"train_samples": 25188,
|
| 6 |
+
"train_samples_per_second": 0.336,
|
| 7 |
+
"train_steps_per_second": 0.007
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,3178 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.0,
|
| 5 |
+
"eval_steps": 15.0,
|
| 6 |
+
"global_step": 525,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0,
|
| 13 |
+
"learning_rate": 1.25e-06,
|
| 14 |
+
"loss": 1.2013,
|
| 15 |
+
"step": 1
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.0,
|
| 19 |
+
"learning_rate": 2.5e-06,
|
| 20 |
+
"loss": 1.2758,
|
| 21 |
+
"step": 2
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.01,
|
| 25 |
+
"learning_rate": 3.7500000000000005e-06,
|
| 26 |
+
"loss": 1.3713,
|
| 27 |
+
"step": 3
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.01,
|
| 31 |
+
"learning_rate": 5e-06,
|
| 32 |
+
"loss": 1.2094,
|
| 33 |
+
"step": 4
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.01,
|
| 37 |
+
"learning_rate": 6.25e-06,
|
| 38 |
+
"loss": 1.1364,
|
| 39 |
+
"step": 5
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.01,
|
| 43 |
+
"learning_rate": 7.500000000000001e-06,
|
| 44 |
+
"loss": 1.2654,
|
| 45 |
+
"step": 6
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.01,
|
| 49 |
+
"learning_rate": 8.750000000000001e-06,
|
| 50 |
+
"loss": 1.1074,
|
| 51 |
+
"step": 7
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.02,
|
| 55 |
+
"learning_rate": 1e-05,
|
| 56 |
+
"loss": 1.2926,
|
| 57 |
+
"step": 8
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 0.02,
|
| 61 |
+
"learning_rate": 1.125e-05,
|
| 62 |
+
"loss": 1.0516,
|
| 63 |
+
"step": 9
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"epoch": 0.02,
|
| 67 |
+
"learning_rate": 1.25e-05,
|
| 68 |
+
"loss": 1.0722,
|
| 69 |
+
"step": 10
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.02,
|
| 73 |
+
"learning_rate": 1.375e-05,
|
| 74 |
+
"loss": 1.1681,
|
| 75 |
+
"step": 11
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 0.02,
|
| 79 |
+
"learning_rate": 1.5000000000000002e-05,
|
| 80 |
+
"loss": 1.0346,
|
| 81 |
+
"step": 12
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 0.02,
|
| 85 |
+
"learning_rate": 1.6250000000000002e-05,
|
| 86 |
+
"loss": 1.2024,
|
| 87 |
+
"step": 13
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.03,
|
| 91 |
+
"learning_rate": 1.7500000000000002e-05,
|
| 92 |
+
"loss": 1.093,
|
| 93 |
+
"step": 14
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.03,
|
| 97 |
+
"learning_rate": 1.8750000000000002e-05,
|
| 98 |
+
"loss": 1.012,
|
| 99 |
+
"step": 15
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.03,
|
| 103 |
+
"learning_rate": 2e-05,
|
| 104 |
+
"loss": 1.2205,
|
| 105 |
+
"step": 16
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 0.03,
|
| 109 |
+
"learning_rate": 1.9999809527270053e-05,
|
| 110 |
+
"loss": 0.925,
|
| 111 |
+
"step": 17
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 0.03,
|
| 115 |
+
"learning_rate": 1.999923811633618e-05,
|
| 116 |
+
"loss": 1.0383,
|
| 117 |
+
"step": 18
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 0.04,
|
| 121 |
+
"learning_rate": 1.9998285788966027e-05,
|
| 122 |
+
"loss": 1.0327,
|
| 123 |
+
"step": 19
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 0.04,
|
| 127 |
+
"learning_rate": 1.999695258143807e-05,
|
| 128 |
+
"loss": 1.058,
|
| 129 |
+
"step": 20
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.04,
|
| 133 |
+
"learning_rate": 1.999523854454024e-05,
|
| 134 |
+
"loss": 1.1077,
|
| 135 |
+
"step": 21
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.04,
|
| 139 |
+
"learning_rate": 1.9993143743568e-05,
|
| 140 |
+
"loss": 0.9494,
|
| 141 |
+
"step": 22
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 0.04,
|
| 145 |
+
"learning_rate": 1.999066825832184e-05,
|
| 146 |
+
"loss": 1.0373,
|
| 147 |
+
"step": 23
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 0.05,
|
| 151 |
+
"learning_rate": 1.998781218310425e-05,
|
| 152 |
+
"loss": 1.1996,
|
| 153 |
+
"step": 24
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 0.05,
|
| 157 |
+
"learning_rate": 1.9984575626716113e-05,
|
| 158 |
+
"loss": 0.899,
|
| 159 |
+
"step": 25
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 0.05,
|
| 163 |
+
"learning_rate": 1.9980958712452577e-05,
|
| 164 |
+
"loss": 1.0654,
|
| 165 |
+
"step": 26
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.05,
|
| 169 |
+
"learning_rate": 1.9976961578098352e-05,
|
| 170 |
+
"loss": 1.1306,
|
| 171 |
+
"step": 27
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.05,
|
| 175 |
+
"learning_rate": 1.9972584375922453e-05,
|
| 176 |
+
"loss": 1.0501,
|
| 177 |
+
"step": 28
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.06,
|
| 181 |
+
"learning_rate": 1.9967827272672407e-05,
|
| 182 |
+
"loss": 1.0959,
|
| 183 |
+
"step": 29
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 0.06,
|
| 187 |
+
"learning_rate": 1.996269044956791e-05,
|
| 188 |
+
"loss": 1.0585,
|
| 189 |
+
"step": 30
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 0.06,
|
| 193 |
+
"learning_rate": 1.99571741022939e-05,
|
| 194 |
+
"loss": 0.9487,
|
| 195 |
+
"step": 31
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 0.06,
|
| 199 |
+
"learning_rate": 1.9951278440993128e-05,
|
| 200 |
+
"loss": 1.03,
|
| 201 |
+
"step": 32
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 0.06,
|
| 205 |
+
"learning_rate": 1.9945003690258127e-05,
|
| 206 |
+
"loss": 1.1106,
|
| 207 |
+
"step": 33
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 0.06,
|
| 211 |
+
"learning_rate": 1.993835008912268e-05,
|
| 212 |
+
"loss": 0.9199,
|
| 213 |
+
"step": 34
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.07,
|
| 217 |
+
"learning_rate": 1.9931317891052707e-05,
|
| 218 |
+
"loss": 1.0684,
|
| 219 |
+
"step": 35
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.07,
|
| 223 |
+
"learning_rate": 1.9923907363936593e-05,
|
| 224 |
+
"loss": 0.9362,
|
| 225 |
+
"step": 36
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 0.07,
|
| 229 |
+
"learning_rate": 1.991611879007501e-05,
|
| 230 |
+
"loss": 1.0414,
|
| 231 |
+
"step": 37
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"epoch": 0.07,
|
| 235 |
+
"learning_rate": 1.990795246617014e-05,
|
| 236 |
+
"loss": 1.161,
|
| 237 |
+
"step": 38
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"epoch": 0.07,
|
| 241 |
+
"learning_rate": 1.9899408703314383e-05,
|
| 242 |
+
"loss": 0.9178,
|
| 243 |
+
"step": 39
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"epoch": 0.08,
|
| 247 |
+
"learning_rate": 1.989048782697851e-05,
|
| 248 |
+
"loss": 1.0846,
|
| 249 |
+
"step": 40
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 0.08,
|
| 253 |
+
"learning_rate": 1.9881190176999255e-05,
|
| 254 |
+
"loss": 0.9939,
|
| 255 |
+
"step": 41
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.08,
|
| 259 |
+
"learning_rate": 1.9871516107566366e-05,
|
| 260 |
+
"loss": 0.9798,
|
| 261 |
+
"step": 42
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.08,
|
| 265 |
+
"learning_rate": 1.986146598720913e-05,
|
| 266 |
+
"loss": 1.0917,
|
| 267 |
+
"step": 43
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 0.08,
|
| 271 |
+
"learning_rate": 1.985104019878233e-05,
|
| 272 |
+
"loss": 0.8748,
|
| 273 |
+
"step": 44
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"epoch": 0.09,
|
| 277 |
+
"learning_rate": 1.9840239139451622e-05,
|
| 278 |
+
"loss": 1.0609,
|
| 279 |
+
"step": 45
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 0.09,
|
| 283 |
+
"learning_rate": 1.982906322067847e-05,
|
| 284 |
+
"loss": 1.0462,
|
| 285 |
+
"step": 46
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 0.09,
|
| 289 |
+
"learning_rate": 1.9817512868204425e-05,
|
| 290 |
+
"loss": 0.9416,
|
| 291 |
+
"step": 47
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 0.09,
|
| 295 |
+
"learning_rate": 1.980558852203492e-05,
|
| 296 |
+
"loss": 1.0883,
|
| 297 |
+
"step": 48
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.09,
|
| 301 |
+
"learning_rate": 1.9793290636422503e-05,
|
| 302 |
+
"loss": 1.0643,
|
| 303 |
+
"step": 49
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.1,
|
| 307 |
+
"learning_rate": 1.9780619679849552e-05,
|
| 308 |
+
"loss": 1.1065,
|
| 309 |
+
"step": 50
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"epoch": 0.1,
|
| 313 |
+
"learning_rate": 1.97675761350104e-05,
|
| 314 |
+
"loss": 0.932,
|
| 315 |
+
"step": 51
|
| 316 |
+
},
|
| 317 |
+
{
|
| 318 |
+
"epoch": 0.1,
|
| 319 |
+
"learning_rate": 1.9754160498792964e-05,
|
| 320 |
+
"loss": 0.9377,
|
| 321 |
+
"step": 52
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 0.1,
|
| 325 |
+
"learning_rate": 1.974037328225982e-05,
|
| 326 |
+
"loss": 1.061,
|
| 327 |
+
"step": 53
|
| 328 |
+
},
|
| 329 |
+
{
|
| 330 |
+
"epoch": 0.1,
|
| 331 |
+
"learning_rate": 1.9726215010628717e-05,
|
| 332 |
+
"loss": 1.049,
|
| 333 |
+
"step": 54
|
| 334 |
+
},
|
| 335 |
+
{
|
| 336 |
+
"epoch": 0.1,
|
| 337 |
+
"learning_rate": 1.971168622325259e-05,
|
| 338 |
+
"loss": 0.9426,
|
| 339 |
+
"step": 55
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.11,
|
| 343 |
+
"learning_rate": 1.9696787473598993e-05,
|
| 344 |
+
"loss": 0.9608,
|
| 345 |
+
"step": 56
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.11,
|
| 349 |
+
"learning_rate": 1.968151932922903e-05,
|
| 350 |
+
"loss": 1.0438,
|
| 351 |
+
"step": 57
|
| 352 |
+
},
|
| 353 |
+
{
|
| 354 |
+
"epoch": 0.11,
|
| 355 |
+
"learning_rate": 1.9665882371775735e-05,
|
| 356 |
+
"loss": 1.0972,
|
| 357 |
+
"step": 58
|
| 358 |
+
},
|
| 359 |
+
{
|
| 360 |
+
"epoch": 0.11,
|
| 361 |
+
"learning_rate": 1.96498771969219e-05,
|
| 362 |
+
"loss": 1.062,
|
| 363 |
+
"step": 59
|
| 364 |
+
},
|
| 365 |
+
{
|
| 366 |
+
"epoch": 0.11,
|
| 367 |
+
"learning_rate": 1.963350441437739e-05,
|
| 368 |
+
"loss": 1.0511,
|
| 369 |
+
"step": 60
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 0.12,
|
| 373 |
+
"learning_rate": 1.9616764647855924e-05,
|
| 374 |
+
"loss": 1.0602,
|
| 375 |
+
"step": 61
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 0.12,
|
| 379 |
+
"learning_rate": 1.9599658535051312e-05,
|
| 380 |
+
"loss": 1.111,
|
| 381 |
+
"step": 62
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.12,
|
| 385 |
+
"learning_rate": 1.9582186727613152e-05,
|
| 386 |
+
"loss": 0.9868,
|
| 387 |
+
"step": 63
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.12,
|
| 391 |
+
"learning_rate": 1.9564349891122017e-05,
|
| 392 |
+
"loss": 0.9718,
|
| 393 |
+
"step": 64
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"epoch": 0.12,
|
| 397 |
+
"learning_rate": 1.9546148705064097e-05,
|
| 398 |
+
"loss": 1.0348,
|
| 399 |
+
"step": 65
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"epoch": 0.13,
|
| 403 |
+
"learning_rate": 1.9527583862805303e-05,
|
| 404 |
+
"loss": 0.9947,
|
| 405 |
+
"step": 66
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 0.13,
|
| 409 |
+
"learning_rate": 1.9508656071564883e-05,
|
| 410 |
+
"loss": 0.9132,
|
| 411 |
+
"step": 67
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 0.13,
|
| 415 |
+
"learning_rate": 1.9489366052388443e-05,
|
| 416 |
+
"loss": 1.1411,
|
| 417 |
+
"step": 68
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 0.13,
|
| 421 |
+
"learning_rate": 1.946971454012051e-05,
|
| 422 |
+
"loss": 0.8929,
|
| 423 |
+
"step": 69
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.13,
|
| 427 |
+
"learning_rate": 1.9449702283376516e-05,
|
| 428 |
+
"loss": 0.9863,
|
| 429 |
+
"step": 70
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.14,
|
| 433 |
+
"learning_rate": 1.9429330044514305e-05,
|
| 434 |
+
"loss": 0.9028,
|
| 435 |
+
"step": 71
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 0.14,
|
| 439 |
+
"learning_rate": 1.9408598599605062e-05,
|
| 440 |
+
"loss": 1.0009,
|
| 441 |
+
"step": 72
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 0.14,
|
| 445 |
+
"learning_rate": 1.938750873840377e-05,
|
| 446 |
+
"loss": 1.0323,
|
| 447 |
+
"step": 73
|
| 448 |
+
},
|
| 449 |
+
{
|
| 450 |
+
"epoch": 0.14,
|
| 451 |
+
"learning_rate": 1.9366061264319112e-05,
|
| 452 |
+
"loss": 1.205,
|
| 453 |
+
"step": 74
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 0.14,
|
| 457 |
+
"learning_rate": 1.934425699438288e-05,
|
| 458 |
+
"loss": 1.0304,
|
| 459 |
+
"step": 75
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 0.14,
|
| 463 |
+
"learning_rate": 1.9322096759218838e-05,
|
| 464 |
+
"loss": 1.0166,
|
| 465 |
+
"step": 76
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.15,
|
| 469 |
+
"learning_rate": 1.9299581403011082e-05,
|
| 470 |
+
"loss": 0.9792,
|
| 471 |
+
"step": 77
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.15,
|
| 475 |
+
"learning_rate": 1.9276711783471888e-05,
|
| 476 |
+
"loss": 1.0663,
|
| 477 |
+
"step": 78
|
| 478 |
+
},
|
| 479 |
+
{
|
| 480 |
+
"epoch": 0.15,
|
| 481 |
+
"learning_rate": 1.9253488771809024e-05,
|
| 482 |
+
"loss": 1.0008,
|
| 483 |
+
"step": 79
|
| 484 |
+
},
|
| 485 |
+
{
|
| 486 |
+
"epoch": 0.15,
|
| 487 |
+
"learning_rate": 1.922991325269258e-05,
|
| 488 |
+
"loss": 1.035,
|
| 489 |
+
"step": 80
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 0.15,
|
| 493 |
+
"learning_rate": 1.920598612422125e-05,
|
| 494 |
+
"loss": 1.0196,
|
| 495 |
+
"step": 81
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 0.16,
|
| 499 |
+
"learning_rate": 1.9181708297888133e-05,
|
| 500 |
+
"loss": 0.9973,
|
| 501 |
+
"step": 82
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 0.16,
|
| 505 |
+
"learning_rate": 1.9157080698546e-05,
|
| 506 |
+
"loss": 1.0891,
|
| 507 |
+
"step": 83
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.16,
|
| 511 |
+
"learning_rate": 1.9132104264372065e-05,
|
| 512 |
+
"loss": 1.1233,
|
| 513 |
+
"step": 84
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.16,
|
| 517 |
+
"learning_rate": 1.910677994683225e-05,
|
| 518 |
+
"loss": 0.9175,
|
| 519 |
+
"step": 85
|
| 520 |
+
},
|
| 521 |
+
{
|
| 522 |
+
"epoch": 0.16,
|
| 523 |
+
"learning_rate": 1.9081108710644933e-05,
|
| 524 |
+
"loss": 1.0085,
|
| 525 |
+
"step": 86
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 0.17,
|
| 529 |
+
"learning_rate": 1.9055091533744204e-05,
|
| 530 |
+
"loss": 1.0296,
|
| 531 |
+
"step": 87
|
| 532 |
+
},
|
| 533 |
+
{
|
| 534 |
+
"epoch": 0.17,
|
| 535 |
+
"learning_rate": 1.9028729407242598e-05,
|
| 536 |
+
"loss": 0.9736,
|
| 537 |
+
"step": 88
|
| 538 |
+
},
|
| 539 |
+
{
|
| 540 |
+
"epoch": 0.17,
|
| 541 |
+
"learning_rate": 1.9002023335393366e-05,
|
| 542 |
+
"loss": 1.0423,
|
| 543 |
+
"step": 89
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 0.17,
|
| 547 |
+
"learning_rate": 1.897497433555218e-05,
|
| 548 |
+
"loss": 1.0293,
|
| 549 |
+
"step": 90
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.17,
|
| 553 |
+
"learning_rate": 1.894758343813842e-05,
|
| 554 |
+
"loss": 0.9725,
|
| 555 |
+
"step": 91
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.18,
|
| 559 |
+
"learning_rate": 1.8919851686595875e-05,
|
| 560 |
+
"loss": 1.0399,
|
| 561 |
+
"step": 92
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"epoch": 0.18,
|
| 565 |
+
"learning_rate": 1.8891780137353036e-05,
|
| 566 |
+
"loss": 1.0698,
|
| 567 |
+
"step": 93
|
| 568 |
+
},
|
| 569 |
+
{
|
| 570 |
+
"epoch": 0.18,
|
| 571 |
+
"learning_rate": 1.8863369859782824e-05,
|
| 572 |
+
"loss": 1.0414,
|
| 573 |
+
"step": 94
|
| 574 |
+
},
|
| 575 |
+
{
|
| 576 |
+
"epoch": 0.18,
|
| 577 |
+
"learning_rate": 1.883462193616187e-05,
|
| 578 |
+
"loss": 1.0559,
|
| 579 |
+
"step": 95
|
| 580 |
+
},
|
| 581 |
+
{
|
| 582 |
+
"epoch": 0.18,
|
| 583 |
+
"learning_rate": 1.8805537461629266e-05,
|
| 584 |
+
"loss": 1.0205,
|
| 585 |
+
"step": 96
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 0.18,
|
| 589 |
+
"learning_rate": 1.8776117544144866e-05,
|
| 590 |
+
"loss": 1.0146,
|
| 591 |
+
"step": 97
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.19,
|
| 595 |
+
"learning_rate": 1.8746363304447073e-05,
|
| 596 |
+
"loss": 1.0369,
|
| 597 |
+
"step": 98
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.19,
|
| 601 |
+
"learning_rate": 1.8716275876010135e-05,
|
| 602 |
+
"loss": 1.1089,
|
| 603 |
+
"step": 99
|
| 604 |
+
},
|
| 605 |
+
{
|
| 606 |
+
"epoch": 0.19,
|
| 607 |
+
"learning_rate": 1.8685856405000984e-05,
|
| 608 |
+
"loss": 1.0616,
|
| 609 |
+
"step": 100
|
| 610 |
+
},
|
| 611 |
+
{
|
| 612 |
+
"epoch": 0.19,
|
| 613 |
+
"learning_rate": 1.865510605023555e-05,
|
| 614 |
+
"loss": 1.1595,
|
| 615 |
+
"step": 101
|
| 616 |
+
},
|
| 617 |
+
{
|
| 618 |
+
"epoch": 0.19,
|
| 619 |
+
"learning_rate": 1.8624025983134643e-05,
|
| 620 |
+
"loss": 0.9224,
|
| 621 |
+
"step": 102
|
| 622 |
+
},
|
| 623 |
+
{
|
| 624 |
+
"epoch": 0.2,
|
| 625 |
+
"learning_rate": 1.8592617387679304e-05,
|
| 626 |
+
"loss": 0.9449,
|
| 627 |
+
"step": 103
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 0.2,
|
| 631 |
+
"learning_rate": 1.8560881460365726e-05,
|
| 632 |
+
"loss": 0.9947,
|
| 633 |
+
"step": 104
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.2,
|
| 637 |
+
"learning_rate": 1.8528819410159638e-05,
|
| 638 |
+
"loss": 0.9683,
|
| 639 |
+
"step": 105
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 0.2,
|
| 643 |
+
"learning_rate": 1.8496432458450297e-05,
|
| 644 |
+
"loss": 1.0687,
|
| 645 |
+
"step": 106
|
| 646 |
+
},
|
| 647 |
+
{
|
| 648 |
+
"epoch": 0.2,
|
| 649 |
+
"learning_rate": 1.8463721839003917e-05,
|
| 650 |
+
"loss": 0.9345,
|
| 651 |
+
"step": 107
|
| 652 |
+
},
|
| 653 |
+
{
|
| 654 |
+
"epoch": 0.21,
|
| 655 |
+
"learning_rate": 1.8430688797916702e-05,
|
| 656 |
+
"loss": 0.9944,
|
| 657 |
+
"step": 108
|
| 658 |
+
},
|
| 659 |
+
{
|
| 660 |
+
"epoch": 0.21,
|
| 661 |
+
"learning_rate": 1.8397334593567347e-05,
|
| 662 |
+
"loss": 0.9834,
|
| 663 |
+
"step": 109
|
| 664 |
+
},
|
| 665 |
+
{
|
| 666 |
+
"epoch": 0.21,
|
| 667 |
+
"learning_rate": 1.836366049656913e-05,
|
| 668 |
+
"loss": 0.9557,
|
| 669 |
+
"step": 110
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 0.21,
|
| 673 |
+
"learning_rate": 1.8329667789721487e-05,
|
| 674 |
+
"loss": 0.9486,
|
| 675 |
+
"step": 111
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.21,
|
| 679 |
+
"learning_rate": 1.8295357767961144e-05,
|
| 680 |
+
"loss": 0.9461,
|
| 681 |
+
"step": 112
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.22,
|
| 685 |
+
"learning_rate": 1.8260731738312817e-05,
|
| 686 |
+
"loss": 1.0935,
|
| 687 |
+
"step": 113
|
| 688 |
+
},
|
| 689 |
+
{
|
| 690 |
+
"epoch": 0.22,
|
| 691 |
+
"learning_rate": 1.8225791019839375e-05,
|
| 692 |
+
"loss": 0.9832,
|
| 693 |
+
"step": 114
|
| 694 |
+
},
|
| 695 |
+
{
|
| 696 |
+
"epoch": 0.22,
|
| 697 |
+
"learning_rate": 1.8190536943591627e-05,
|
| 698 |
+
"loss": 1.1332,
|
| 699 |
+
"step": 115
|
| 700 |
+
},
|
| 701 |
+
{
|
| 702 |
+
"epoch": 0.22,
|
| 703 |
+
"learning_rate": 1.8154970852557604e-05,
|
| 704 |
+
"loss": 0.9484,
|
| 705 |
+
"step": 116
|
| 706 |
+
},
|
| 707 |
+
{
|
| 708 |
+
"epoch": 0.22,
|
| 709 |
+
"learning_rate": 1.811909410161139e-05,
|
| 710 |
+
"loss": 0.9992,
|
| 711 |
+
"step": 117
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 0.22,
|
| 715 |
+
"learning_rate": 1.8082908057461534e-05,
|
| 716 |
+
"loss": 0.9772,
|
| 717 |
+
"step": 118
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 0.23,
|
| 721 |
+
"learning_rate": 1.8046414098598947e-05,
|
| 722 |
+
"loss": 1.0294,
|
| 723 |
+
"step": 119
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 0.23,
|
| 727 |
+
"learning_rate": 1.8009613615244438e-05,
|
| 728 |
+
"loss": 1.0607,
|
| 729 |
+
"step": 120
|
| 730 |
+
},
|
| 731 |
+
{
|
| 732 |
+
"epoch": 0.23,
|
| 733 |
+
"learning_rate": 1.79725080092957e-05,
|
| 734 |
+
"loss": 0.9284,
|
| 735 |
+
"step": 121
|
| 736 |
+
},
|
| 737 |
+
{
|
| 738 |
+
"epoch": 0.23,
|
| 739 |
+
"learning_rate": 1.793509869427395e-05,
|
| 740 |
+
"loss": 1.3684,
|
| 741 |
+
"step": 122
|
| 742 |
+
},
|
| 743 |
+
{
|
| 744 |
+
"epoch": 0.23,
|
| 745 |
+
"learning_rate": 1.7897387095270058e-05,
|
| 746 |
+
"loss": 1.0456,
|
| 747 |
+
"step": 123
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"epoch": 0.24,
|
| 751 |
+
"learning_rate": 1.785937464889027e-05,
|
| 752 |
+
"loss": 1.0026,
|
| 753 |
+
"step": 124
|
| 754 |
+
},
|
| 755 |
+
{
|
| 756 |
+
"epoch": 0.24,
|
| 757 |
+
"learning_rate": 1.782106280320147e-05,
|
| 758 |
+
"loss": 0.903,
|
| 759 |
+
"step": 125
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 0.24,
|
| 763 |
+
"learning_rate": 1.7782453017676025e-05,
|
| 764 |
+
"loss": 0.9958,
|
| 765 |
+
"step": 126
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.24,
|
| 769 |
+
"learning_rate": 1.7743546763136187e-05,
|
| 770 |
+
"loss": 0.9393,
|
| 771 |
+
"step": 127
|
| 772 |
+
},
|
| 773 |
+
{
|
| 774 |
+
"epoch": 0.24,
|
| 775 |
+
"learning_rate": 1.7704345521698057e-05,
|
| 776 |
+
"loss": 1.011,
|
| 777 |
+
"step": 128
|
| 778 |
+
},
|
| 779 |
+
{
|
| 780 |
+
"epoch": 0.25,
|
| 781 |
+
"learning_rate": 1.766485078671514e-05,
|
| 782 |
+
"loss": 0.9844,
|
| 783 |
+
"step": 129
|
| 784 |
+
},
|
| 785 |
+
{
|
| 786 |
+
"epoch": 0.25,
|
| 787 |
+
"learning_rate": 1.7625064062721414e-05,
|
| 788 |
+
"loss": 0.9095,
|
| 789 |
+
"step": 130
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"epoch": 0.25,
|
| 793 |
+
"learning_rate": 1.7584986865374084e-05,
|
| 794 |
+
"loss": 1.069,
|
| 795 |
+
"step": 131
|
| 796 |
+
},
|
| 797 |
+
{
|
| 798 |
+
"epoch": 0.25,
|
| 799 |
+
"learning_rate": 1.754462072139578e-05,
|
| 800 |
+
"loss": 1.0297,
|
| 801 |
+
"step": 132
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 0.25,
|
| 805 |
+
"learning_rate": 1.7503967168516426e-05,
|
| 806 |
+
"loss": 0.9506,
|
| 807 |
+
"step": 133
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.26,
|
| 811 |
+
"learning_rate": 1.746302775541467e-05,
|
| 812 |
+
"loss": 1.0637,
|
| 813 |
+
"step": 134
|
| 814 |
+
},
|
| 815 |
+
{
|
| 816 |
+
"epoch": 0.26,
|
| 817 |
+
"learning_rate": 1.7421804041658867e-05,
|
| 818 |
+
"loss": 0.9747,
|
| 819 |
+
"step": 135
|
| 820 |
+
},
|
| 821 |
+
{
|
| 822 |
+
"epoch": 0.26,
|
| 823 |
+
"learning_rate": 1.738029759764767e-05,
|
| 824 |
+
"loss": 1.0646,
|
| 825 |
+
"step": 136
|
| 826 |
+
},
|
| 827 |
+
{
|
| 828 |
+
"epoch": 0.26,
|
| 829 |
+
"learning_rate": 1.7338510004550225e-05,
|
| 830 |
+
"loss": 0.903,
|
| 831 |
+
"step": 137
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 0.26,
|
| 835 |
+
"learning_rate": 1.7296442854245915e-05,
|
| 836 |
+
"loss": 1.0498,
|
| 837 |
+
"step": 138
|
| 838 |
+
},
|
| 839 |
+
{
|
| 840 |
+
"epoch": 0.26,
|
| 841 |
+
"learning_rate": 1.7254097749263735e-05,
|
| 842 |
+
"loss": 0.9385,
|
| 843 |
+
"step": 139
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 0.27,
|
| 847 |
+
"learning_rate": 1.721147630272123e-05,
|
| 848 |
+
"loss": 0.9959,
|
| 849 |
+
"step": 140
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.27,
|
| 853 |
+
"learning_rate": 1.7168580138263064e-05,
|
| 854 |
+
"loss": 1.195,
|
| 855 |
+
"step": 141
|
| 856 |
+
},
|
| 857 |
+
{
|
| 858 |
+
"epoch": 0.27,
|
| 859 |
+
"learning_rate": 1.7125410889999135e-05,
|
| 860 |
+
"loss": 0.9948,
|
| 861 |
+
"step": 142
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"epoch": 0.27,
|
| 865 |
+
"learning_rate": 1.7081970202442363e-05,
|
| 866 |
+
"loss": 0.9771,
|
| 867 |
+
"step": 143
|
| 868 |
+
},
|
| 869 |
+
{
|
| 870 |
+
"epoch": 0.27,
|
| 871 |
+
"learning_rate": 1.703825973044602e-05,
|
| 872 |
+
"loss": 1.0914,
|
| 873 |
+
"step": 144
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 0.28,
|
| 877 |
+
"learning_rate": 1.699428113914069e-05,
|
| 878 |
+
"loss": 1.1004,
|
| 879 |
+
"step": 145
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
"epoch": 0.28,
|
| 883 |
+
"learning_rate": 1.695003610387084e-05,
|
| 884 |
+
"loss": 0.9474,
|
| 885 |
+
"step": 146
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 0.28,
|
| 889 |
+
"learning_rate": 1.6905526310131e-05,
|
| 890 |
+
"loss": 0.9924,
|
| 891 |
+
"step": 147
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 0.28,
|
| 895 |
+
"learning_rate": 1.686075345350156e-05,
|
| 896 |
+
"loss": 0.8992,
|
| 897 |
+
"step": 148
|
| 898 |
+
},
|
| 899 |
+
{
|
| 900 |
+
"epoch": 0.28,
|
| 901 |
+
"learning_rate": 1.681571923958416e-05,
|
| 902 |
+
"loss": 1.0628,
|
| 903 |
+
"step": 149
|
| 904 |
+
},
|
| 905 |
+
{
|
| 906 |
+
"epoch": 0.29,
|
| 907 |
+
"learning_rate": 1.6770425383936734e-05,
|
| 908 |
+
"loss": 0.9987,
|
| 909 |
+
"step": 150
|
| 910 |
+
},
|
| 911 |
+
{
|
| 912 |
+
"epoch": 0.29,
|
| 913 |
+
"learning_rate": 1.6724873612008155e-05,
|
| 914 |
+
"loss": 0.9921,
|
| 915 |
+
"step": 151
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"epoch": 0.29,
|
| 919 |
+
"learning_rate": 1.6679065659072486e-05,
|
| 920 |
+
"loss": 0.9219,
|
| 921 |
+
"step": 152
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"epoch": 0.29,
|
| 925 |
+
"learning_rate": 1.6633003270162903e-05,
|
| 926 |
+
"loss": 1.0066,
|
| 927 |
+
"step": 153
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 0.29,
|
| 931 |
+
"learning_rate": 1.6586688200005193e-05,
|
| 932 |
+
"loss": 0.9523,
|
| 933 |
+
"step": 154
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 0.3,
|
| 937 |
+
"learning_rate": 1.654012221295093e-05,
|
| 938 |
+
"loss": 0.9338,
|
| 939 |
+
"step": 155
|
| 940 |
+
},
|
| 941 |
+
{
|
| 942 |
+
"epoch": 0.3,
|
| 943 |
+
"learning_rate": 1.649330708291025e-05,
|
| 944 |
+
"loss": 1.1743,
|
| 945 |
+
"step": 156
|
| 946 |
+
},
|
| 947 |
+
{
|
| 948 |
+
"epoch": 0.3,
|
| 949 |
+
"learning_rate": 1.6446244593284277e-05,
|
| 950 |
+
"loss": 0.9423,
|
| 951 |
+
"step": 157
|
| 952 |
+
},
|
| 953 |
+
{
|
| 954 |
+
"epoch": 0.3,
|
| 955 |
+
"learning_rate": 1.6398936536897182e-05,
|
| 956 |
+
"loss": 1.0983,
|
| 957 |
+
"step": 158
|
| 958 |
+
},
|
| 959 |
+
{
|
| 960 |
+
"epoch": 0.3,
|
| 961 |
+
"learning_rate": 1.6351384715927897e-05,
|
| 962 |
+
"loss": 1.0577,
|
| 963 |
+
"step": 159
|
| 964 |
+
},
|
| 965 |
+
{
|
| 966 |
+
"epoch": 0.3,
|
| 967 |
+
"learning_rate": 1.6303590941841457e-05,
|
| 968 |
+
"loss": 1.0107,
|
| 969 |
+
"step": 160
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 0.31,
|
| 973 |
+
"learning_rate": 1.625555703531998e-05,
|
| 974 |
+
"loss": 1.0051,
|
| 975 |
+
"step": 161
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 0.31,
|
| 979 |
+
"learning_rate": 1.6207284826193334e-05,
|
| 980 |
+
"loss": 0.9868,
|
| 981 |
+
"step": 162
|
| 982 |
+
},
|
| 983 |
+
{
|
| 984 |
+
"epoch": 0.31,
|
| 985 |
+
"learning_rate": 1.6158776153369406e-05,
|
| 986 |
+
"loss": 1.0838,
|
| 987 |
+
"step": 163
|
| 988 |
+
},
|
| 989 |
+
{
|
| 990 |
+
"epoch": 0.31,
|
| 991 |
+
"learning_rate": 1.611003286476406e-05,
|
| 992 |
+
"loss": 0.9899,
|
| 993 |
+
"step": 164
|
| 994 |
+
},
|
| 995 |
+
{
|
| 996 |
+
"epoch": 0.31,
|
| 997 |
+
"learning_rate": 1.6061056817230754e-05,
|
| 998 |
+
"loss": 1.0625,
|
| 999 |
+
"step": 165
|
| 1000 |
+
},
|
| 1001 |
+
{
|
| 1002 |
+
"epoch": 0.32,
|
| 1003 |
+
"learning_rate": 1.6011849876489777e-05,
|
| 1004 |
+
"loss": 1.0744,
|
| 1005 |
+
"step": 166
|
| 1006 |
+
},
|
| 1007 |
+
{
|
| 1008 |
+
"epoch": 0.32,
|
| 1009 |
+
"learning_rate": 1.59624139170572e-05,
|
| 1010 |
+
"loss": 1.2099,
|
| 1011 |
+
"step": 167
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 0.32,
|
| 1015 |
+
"learning_rate": 1.5912750822173446e-05,
|
| 1016 |
+
"loss": 0.9299,
|
| 1017 |
+
"step": 168
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 0.32,
|
| 1021 |
+
"learning_rate": 1.5862862483731574e-05,
|
| 1022 |
+
"loss": 0.956,
|
| 1023 |
+
"step": 169
|
| 1024 |
+
},
|
| 1025 |
+
{
|
| 1026 |
+
"epoch": 0.32,
|
| 1027 |
+
"learning_rate": 1.5812750802205187e-05,
|
| 1028 |
+
"loss": 1.04,
|
| 1029 |
+
"step": 170
|
| 1030 |
+
},
|
| 1031 |
+
{
|
| 1032 |
+
"epoch": 0.33,
|
| 1033 |
+
"learning_rate": 1.576241768657604e-05,
|
| 1034 |
+
"loss": 1.2019,
|
| 1035 |
+
"step": 171
|
| 1036 |
+
},
|
| 1037 |
+
{
|
| 1038 |
+
"epoch": 0.33,
|
| 1039 |
+
"learning_rate": 1.571186505426132e-05,
|
| 1040 |
+
"loss": 0.8532,
|
| 1041 |
+
"step": 172
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"epoch": 0.33,
|
| 1045 |
+
"learning_rate": 1.56610948310406e-05,
|
| 1046 |
+
"loss": 0.9586,
|
| 1047 |
+
"step": 173
|
| 1048 |
+
},
|
| 1049 |
+
{
|
| 1050 |
+
"epoch": 0.33,
|
| 1051 |
+
"learning_rate": 1.5610108950982494e-05,
|
| 1052 |
+
"loss": 1.1052,
|
| 1053 |
+
"step": 174
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 0.33,
|
| 1057 |
+
"learning_rate": 1.5558909356370944e-05,
|
| 1058 |
+
"loss": 1.1066,
|
| 1059 |
+
"step": 175
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 0.34,
|
| 1063 |
+
"learning_rate": 1.5507497997631267e-05,
|
| 1064 |
+
"loss": 0.9839,
|
| 1065 |
+
"step": 176
|
| 1066 |
+
},
|
| 1067 |
+
{
|
| 1068 |
+
"epoch": 0.34,
|
| 1069 |
+
"learning_rate": 1.545587683325583e-05,
|
| 1070 |
+
"loss": 1.0389,
|
| 1071 |
+
"step": 177
|
| 1072 |
+
},
|
| 1073 |
+
{
|
| 1074 |
+
"epoch": 0.34,
|
| 1075 |
+
"learning_rate": 1.540404782972946e-05,
|
| 1076 |
+
"loss": 0.9958,
|
| 1077 |
+
"step": 178
|
| 1078 |
+
},
|
| 1079 |
+
{
|
| 1080 |
+
"epoch": 0.34,
|
| 1081 |
+
"learning_rate": 1.535201296145451e-05,
|
| 1082 |
+
"loss": 1.0568,
|
| 1083 |
+
"step": 179
|
| 1084 |
+
},
|
| 1085 |
+
{
|
| 1086 |
+
"epoch": 0.34,
|
| 1087 |
+
"learning_rate": 1.529977421067566e-05,
|
| 1088 |
+
"loss": 0.9631,
|
| 1089 |
+
"step": 180
|
| 1090 |
+
},
|
| 1091 |
+
{
|
| 1092 |
+
"epoch": 0.34,
|
| 1093 |
+
"learning_rate": 1.5247333567404407e-05,
|
| 1094 |
+
"loss": 1.0225,
|
| 1095 |
+
"step": 181
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 0.35,
|
| 1099 |
+
"learning_rate": 1.5194693029343249e-05,
|
| 1100 |
+
"loss": 1.0099,
|
| 1101 |
+
"step": 182
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 0.35,
|
| 1105 |
+
"learning_rate": 1.5141854601809583e-05,
|
| 1106 |
+
"loss": 0.931,
|
| 1107 |
+
"step": 183
|
| 1108 |
+
},
|
| 1109 |
+
{
|
| 1110 |
+
"epoch": 0.35,
|
| 1111 |
+
"learning_rate": 1.5088820297659314e-05,
|
| 1112 |
+
"loss": 1.1087,
|
| 1113 |
+
"step": 184
|
| 1114 |
+
},
|
| 1115 |
+
{
|
| 1116 |
+
"epoch": 0.35,
|
| 1117 |
+
"learning_rate": 1.5035592137210188e-05,
|
| 1118 |
+
"loss": 1.0107,
|
| 1119 |
+
"step": 185
|
| 1120 |
+
},
|
| 1121 |
+
{
|
| 1122 |
+
"epoch": 0.35,
|
| 1123 |
+
"learning_rate": 1.4982172148164804e-05,
|
| 1124 |
+
"loss": 0.9999,
|
| 1125 |
+
"step": 186
|
| 1126 |
+
},
|
| 1127 |
+
{
|
| 1128 |
+
"epoch": 0.36,
|
| 1129 |
+
"learning_rate": 1.4928562365533393e-05,
|
| 1130 |
+
"loss": 0.927,
|
| 1131 |
+
"step": 187
|
| 1132 |
+
},
|
| 1133 |
+
{
|
| 1134 |
+
"epoch": 0.36,
|
| 1135 |
+
"learning_rate": 1.4874764831556285e-05,
|
| 1136 |
+
"loss": 0.9624,
|
| 1137 |
+
"step": 188
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 0.36,
|
| 1141 |
+
"learning_rate": 1.4820781595626116e-05,
|
| 1142 |
+
"loss": 0.9271,
|
| 1143 |
+
"step": 189
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 0.36,
|
| 1147 |
+
"learning_rate": 1.4766614714209748e-05,
|
| 1148 |
+
"loss": 1.0568,
|
| 1149 |
+
"step": 190
|
| 1150 |
+
},
|
| 1151 |
+
{
|
| 1152 |
+
"epoch": 0.36,
|
| 1153 |
+
"learning_rate": 1.4712266250769932e-05,
|
| 1154 |
+
"loss": 0.9526,
|
| 1155 |
+
"step": 191
|
| 1156 |
+
},
|
| 1157 |
+
{
|
| 1158 |
+
"epoch": 0.37,
|
| 1159 |
+
"learning_rate": 1.4657738275686711e-05,
|
| 1160 |
+
"loss": 0.9525,
|
| 1161 |
+
"step": 192
|
| 1162 |
+
},
|
| 1163 |
+
{
|
| 1164 |
+
"epoch": 0.37,
|
| 1165 |
+
"learning_rate": 1.460303286617854e-05,
|
| 1166 |
+
"loss": 1.0047,
|
| 1167 |
+
"step": 193
|
| 1168 |
+
},
|
| 1169 |
+
{
|
| 1170 |
+
"epoch": 0.37,
|
| 1171 |
+
"learning_rate": 1.4548152106223157e-05,
|
| 1172 |
+
"loss": 1.0844,
|
| 1173 |
+
"step": 194
|
| 1174 |
+
},
|
| 1175 |
+
{
|
| 1176 |
+
"epoch": 0.37,
|
| 1177 |
+
"learning_rate": 1.4493098086478196e-05,
|
| 1178 |
+
"loss": 1.0315,
|
| 1179 |
+
"step": 195
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 0.37,
|
| 1183 |
+
"learning_rate": 1.4437872904201542e-05,
|
| 1184 |
+
"loss": 0.9944,
|
| 1185 |
+
"step": 196
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 0.38,
|
| 1189 |
+
"learning_rate": 1.4382478663171449e-05,
|
| 1190 |
+
"loss": 0.9606,
|
| 1191 |
+
"step": 197
|
| 1192 |
+
},
|
| 1193 |
+
{
|
| 1194 |
+
"epoch": 0.38,
|
| 1195 |
+
"learning_rate": 1.4326917473606368e-05,
|
| 1196 |
+
"loss": 1.1036,
|
| 1197 |
+
"step": 198
|
| 1198 |
+
},
|
| 1199 |
+
{
|
| 1200 |
+
"epoch": 0.38,
|
| 1201 |
+
"learning_rate": 1.4271191452084598e-05,
|
| 1202 |
+
"loss": 0.9404,
|
| 1203 |
+
"step": 199
|
| 1204 |
+
},
|
| 1205 |
+
{
|
| 1206 |
+
"epoch": 0.38,
|
| 1207 |
+
"learning_rate": 1.4215302721463624e-05,
|
| 1208 |
+
"loss": 1.0934,
|
| 1209 |
+
"step": 200
|
| 1210 |
+
},
|
| 1211 |
+
{
|
| 1212 |
+
"epoch": 0.38,
|
| 1213 |
+
"learning_rate": 1.4159253410799272e-05,
|
| 1214 |
+
"loss": 0.9587,
|
| 1215 |
+
"step": 201
|
| 1216 |
+
},
|
| 1217 |
+
{
|
| 1218 |
+
"epoch": 0.38,
|
| 1219 |
+
"learning_rate": 1.4103045655264576e-05,
|
| 1220 |
+
"loss": 1.1526,
|
| 1221 |
+
"step": 202
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 0.39,
|
| 1225 |
+
"learning_rate": 1.4046681596068468e-05,
|
| 1226 |
+
"loss": 0.9883,
|
| 1227 |
+
"step": 203
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 0.39,
|
| 1231 |
+
"learning_rate": 1.3990163380374195e-05,
|
| 1232 |
+
"loss": 1.003,
|
| 1233 |
+
"step": 204
|
| 1234 |
+
},
|
| 1235 |
+
{
|
| 1236 |
+
"epoch": 0.39,
|
| 1237 |
+
"learning_rate": 1.3933493161217521e-05,
|
| 1238 |
+
"loss": 0.9472,
|
| 1239 |
+
"step": 205
|
| 1240 |
+
},
|
| 1241 |
+
{
|
| 1242 |
+
"epoch": 0.39,
|
| 1243 |
+
"learning_rate": 1.387667309742472e-05,
|
| 1244 |
+
"loss": 0.949,
|
| 1245 |
+
"step": 206
|
| 1246 |
+
},
|
| 1247 |
+
{
|
| 1248 |
+
"epoch": 0.39,
|
| 1249 |
+
"learning_rate": 1.3819705353530322e-05,
|
| 1250 |
+
"loss": 1.0019,
|
| 1251 |
+
"step": 207
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"epoch": 0.4,
|
| 1255 |
+
"learning_rate": 1.3762592099694666e-05,
|
| 1256 |
+
"loss": 1.1014,
|
| 1257 |
+
"step": 208
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"epoch": 0.4,
|
| 1261 |
+
"learning_rate": 1.3705335511621229e-05,
|
| 1262 |
+
"loss": 1.0855,
|
| 1263 |
+
"step": 209
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 0.4,
|
| 1267 |
+
"learning_rate": 1.3647937770473739e-05,
|
| 1268 |
+
"loss": 1.0694,
|
| 1269 |
+
"step": 210
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 0.4,
|
| 1273 |
+
"learning_rate": 1.3590401062793084e-05,
|
| 1274 |
+
"loss": 0.9958,
|
| 1275 |
+
"step": 211
|
| 1276 |
+
},
|
| 1277 |
+
{
|
| 1278 |
+
"epoch": 0.4,
|
| 1279 |
+
"learning_rate": 1.3532727580414018e-05,
|
| 1280 |
+
"loss": 1.0537,
|
| 1281 |
+
"step": 212
|
| 1282 |
+
},
|
| 1283 |
+
{
|
| 1284 |
+
"epoch": 0.41,
|
| 1285 |
+
"learning_rate": 1.3474919520381673e-05,
|
| 1286 |
+
"loss": 1.0812,
|
| 1287 |
+
"step": 213
|
| 1288 |
+
},
|
| 1289 |
+
{
|
| 1290 |
+
"epoch": 0.41,
|
| 1291 |
+
"learning_rate": 1.3416979084867851e-05,
|
| 1292 |
+
"loss": 0.9856,
|
| 1293 |
+
"step": 214
|
| 1294 |
+
},
|
| 1295 |
+
{
|
| 1296 |
+
"epoch": 0.41,
|
| 1297 |
+
"learning_rate": 1.3358908481087133e-05,
|
| 1298 |
+
"loss": 0.9998,
|
| 1299 |
+
"step": 215
|
| 1300 |
+
},
|
| 1301 |
+
{
|
| 1302 |
+
"epoch": 0.41,
|
| 1303 |
+
"learning_rate": 1.330070992121281e-05,
|
| 1304 |
+
"loss": 1.0072,
|
| 1305 |
+
"step": 216
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 0.41,
|
| 1309 |
+
"learning_rate": 1.3242385622292593e-05,
|
| 1310 |
+
"loss": 0.9522,
|
| 1311 |
+
"step": 217
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 0.42,
|
| 1315 |
+
"learning_rate": 1.3183937806164174e-05,
|
| 1316 |
+
"loss": 1.2482,
|
| 1317 |
+
"step": 218
|
| 1318 |
+
},
|
| 1319 |
+
{
|
| 1320 |
+
"epoch": 0.42,
|
| 1321 |
+
"learning_rate": 1.3125368699370567e-05,
|
| 1322 |
+
"loss": 0.999,
|
| 1323 |
+
"step": 219
|
| 1324 |
+
},
|
| 1325 |
+
{
|
| 1326 |
+
"epoch": 0.42,
|
| 1327 |
+
"learning_rate": 1.3066680533075312e-05,
|
| 1328 |
+
"loss": 0.9447,
|
| 1329 |
+
"step": 220
|
| 1330 |
+
},
|
| 1331 |
+
{
|
| 1332 |
+
"epoch": 0.42,
|
| 1333 |
+
"learning_rate": 1.3007875542977448e-05,
|
| 1334 |
+
"loss": 1.0508,
|
| 1335 |
+
"step": 221
|
| 1336 |
+
},
|
| 1337 |
+
{
|
| 1338 |
+
"epoch": 0.42,
|
| 1339 |
+
"learning_rate": 1.2948955969226384e-05,
|
| 1340 |
+
"loss": 1.1029,
|
| 1341 |
+
"step": 222
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"epoch": 0.42,
|
| 1345 |
+
"learning_rate": 1.2889924056336531e-05,
|
| 1346 |
+
"loss": 1.0036,
|
| 1347 |
+
"step": 223
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"epoch": 0.43,
|
| 1351 |
+
"learning_rate": 1.2830782053101807e-05,
|
| 1352 |
+
"loss": 1.0508,
|
| 1353 |
+
"step": 224
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 0.43,
|
| 1357 |
+
"learning_rate": 1.2771532212509974e-05,
|
| 1358 |
+
"loss": 1.1378,
|
| 1359 |
+
"step": 225
|
| 1360 |
+
},
|
| 1361 |
+
{
|
| 1362 |
+
"epoch": 0.43,
|
| 1363 |
+
"learning_rate": 1.2712176791656807e-05,
|
| 1364 |
+
"loss": 1.0185,
|
| 1365 |
+
"step": 226
|
| 1366 |
+
},
|
| 1367 |
+
{
|
| 1368 |
+
"epoch": 0.43,
|
| 1369 |
+
"learning_rate": 1.2652718051660122e-05,
|
| 1370 |
+
"loss": 1.1234,
|
| 1371 |
+
"step": 227
|
| 1372 |
+
},
|
| 1373 |
+
{
|
| 1374 |
+
"epoch": 0.43,
|
| 1375 |
+
"learning_rate": 1.259315825757362e-05,
|
| 1376 |
+
"loss": 1.0036,
|
| 1377 |
+
"step": 228
|
| 1378 |
+
},
|
| 1379 |
+
{
|
| 1380 |
+
"epoch": 0.44,
|
| 1381 |
+
"learning_rate": 1.2533499678300618e-05,
|
| 1382 |
+
"loss": 1.0508,
|
| 1383 |
+
"step": 229
|
| 1384 |
+
},
|
| 1385 |
+
{
|
| 1386 |
+
"epoch": 0.44,
|
| 1387 |
+
"learning_rate": 1.2473744586507606e-05,
|
| 1388 |
+
"loss": 1.1163,
|
| 1389 |
+
"step": 230
|
| 1390 |
+
},
|
| 1391 |
+
{
|
| 1392 |
+
"epoch": 0.44,
|
| 1393 |
+
"learning_rate": 1.2413895258537676e-05,
|
| 1394 |
+
"loss": 1.0512,
|
| 1395 |
+
"step": 231
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 0.44,
|
| 1399 |
+
"learning_rate": 1.2353953974323807e-05,
|
| 1400 |
+
"loss": 0.9337,
|
| 1401 |
+
"step": 232
|
| 1402 |
+
},
|
| 1403 |
+
{
|
| 1404 |
+
"epoch": 0.44,
|
| 1405 |
+
"learning_rate": 1.2293923017302004e-05,
|
| 1406 |
+
"loss": 1.0446,
|
| 1407 |
+
"step": 233
|
| 1408 |
+
},
|
| 1409 |
+
{
|
| 1410 |
+
"epoch": 0.45,
|
| 1411 |
+
"learning_rate": 1.223380467432432e-05,
|
| 1412 |
+
"loss": 0.9448,
|
| 1413 |
+
"step": 234
|
| 1414 |
+
},
|
| 1415 |
+
{
|
| 1416 |
+
"epoch": 0.45,
|
| 1417 |
+
"learning_rate": 1.217360123557174e-05,
|
| 1418 |
+
"loss": 0.9856,
|
| 1419 |
+
"step": 235
|
| 1420 |
+
},
|
| 1421 |
+
{
|
| 1422 |
+
"epoch": 0.45,
|
| 1423 |
+
"learning_rate": 1.211331499446693e-05,
|
| 1424 |
+
"loss": 0.9578,
|
| 1425 |
+
"step": 236
|
| 1426 |
+
},
|
| 1427 |
+
{
|
| 1428 |
+
"epoch": 0.45,
|
| 1429 |
+
"learning_rate": 1.2052948247586872e-05,
|
| 1430 |
+
"loss": 0.8096,
|
| 1431 |
+
"step": 237
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"epoch": 0.45,
|
| 1435 |
+
"learning_rate": 1.1992503294575385e-05,
|
| 1436 |
+
"loss": 0.9109,
|
| 1437 |
+
"step": 238
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 0.46,
|
| 1441 |
+
"learning_rate": 1.1931982438055506e-05,
|
| 1442 |
+
"loss": 1.014,
|
| 1443 |
+
"step": 239
|
| 1444 |
+
},
|
| 1445 |
+
{
|
| 1446 |
+
"epoch": 0.46,
|
| 1447 |
+
"learning_rate": 1.1871387983541789e-05,
|
| 1448 |
+
"loss": 1.0129,
|
| 1449 |
+
"step": 240
|
| 1450 |
+
},
|
| 1451 |
+
{
|
| 1452 |
+
"epoch": 0.46,
|
| 1453 |
+
"learning_rate": 1.1810722239352468e-05,
|
| 1454 |
+
"loss": 0.9497,
|
| 1455 |
+
"step": 241
|
| 1456 |
+
},
|
| 1457 |
+
{
|
| 1458 |
+
"epoch": 0.46,
|
| 1459 |
+
"learning_rate": 1.1749987516521523e-05,
|
| 1460 |
+
"loss": 0.9578,
|
| 1461 |
+
"step": 242
|
| 1462 |
+
},
|
| 1463 |
+
{
|
| 1464 |
+
"epoch": 0.46,
|
| 1465 |
+
"learning_rate": 1.1689186128710654e-05,
|
| 1466 |
+
"loss": 1.0114,
|
| 1467 |
+
"step": 243
|
| 1468 |
+
},
|
| 1469 |
+
{
|
| 1470 |
+
"epoch": 0.46,
|
| 1471 |
+
"learning_rate": 1.1628320392121118e-05,
|
| 1472 |
+
"loss": 1.0635,
|
| 1473 |
+
"step": 244
|
| 1474 |
+
},
|
| 1475 |
+
{
|
| 1476 |
+
"epoch": 0.47,
|
| 1477 |
+
"learning_rate": 1.156739262540552e-05,
|
| 1478 |
+
"loss": 0.9527,
|
| 1479 |
+
"step": 245
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 0.47,
|
| 1483 |
+
"learning_rate": 1.150640514957947e-05,
|
| 1484 |
+
"loss": 1.0139,
|
| 1485 |
+
"step": 246
|
| 1486 |
+
},
|
| 1487 |
+
{
|
| 1488 |
+
"epoch": 0.47,
|
| 1489 |
+
"learning_rate": 1.1445360287933165e-05,
|
| 1490 |
+
"loss": 0.9126,
|
| 1491 |
+
"step": 247
|
| 1492 |
+
},
|
| 1493 |
+
{
|
| 1494 |
+
"epoch": 0.47,
|
| 1495 |
+
"learning_rate": 1.1384260365942905e-05,
|
| 1496 |
+
"loss": 0.9579,
|
| 1497 |
+
"step": 248
|
| 1498 |
+
},
|
| 1499 |
+
{
|
| 1500 |
+
"epoch": 0.47,
|
| 1501 |
+
"learning_rate": 1.1323107711182474e-05,
|
| 1502 |
+
"loss": 0.8946,
|
| 1503 |
+
"step": 249
|
| 1504 |
+
},
|
| 1505 |
+
{
|
| 1506 |
+
"epoch": 0.48,
|
| 1507 |
+
"learning_rate": 1.1261904653234486e-05,
|
| 1508 |
+
"loss": 1.0059,
|
| 1509 |
+
"step": 250
|
| 1510 |
+
},
|
| 1511 |
+
{
|
| 1512 |
+
"epoch": 0.48,
|
| 1513 |
+
"learning_rate": 1.1200653523601652e-05,
|
| 1514 |
+
"loss": 0.9798,
|
| 1515 |
+
"step": 251
|
| 1516 |
+
},
|
| 1517 |
+
{
|
| 1518 |
+
"epoch": 0.48,
|
| 1519 |
+
"learning_rate": 1.1139356655617945e-05,
|
| 1520 |
+
"loss": 0.9536,
|
| 1521 |
+
"step": 252
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 0.48,
|
| 1525 |
+
"learning_rate": 1.1078016384359725e-05,
|
| 1526 |
+
"loss": 1.0603,
|
| 1527 |
+
"step": 253
|
| 1528 |
+
},
|
| 1529 |
+
{
|
| 1530 |
+
"epoch": 0.48,
|
| 1531 |
+
"learning_rate": 1.1016635046556773e-05,
|
| 1532 |
+
"loss": 0.9435,
|
| 1533 |
+
"step": 254
|
| 1534 |
+
},
|
| 1535 |
+
{
|
| 1536 |
+
"epoch": 0.49,
|
| 1537 |
+
"learning_rate": 1.0955214980503284e-05,
|
| 1538 |
+
"loss": 0.9584,
|
| 1539 |
+
"step": 255
|
| 1540 |
+
},
|
| 1541 |
+
{
|
| 1542 |
+
"epoch": 0.49,
|
| 1543 |
+
"learning_rate": 1.0893758525968789e-05,
|
| 1544 |
+
"loss": 1.0198,
|
| 1545 |
+
"step": 256
|
| 1546 |
+
},
|
| 1547 |
+
{
|
| 1548 |
+
"epoch": 0.49,
|
| 1549 |
+
"learning_rate": 1.0832268024109025e-05,
|
| 1550 |
+
"loss": 0.9559,
|
| 1551 |
+
"step": 257
|
| 1552 |
+
},
|
| 1553 |
+
{
|
| 1554 |
+
"epoch": 0.49,
|
| 1555 |
+
"learning_rate": 1.0770745817376741e-05,
|
| 1556 |
+
"loss": 0.9561,
|
| 1557 |
+
"step": 258
|
| 1558 |
+
},
|
| 1559 |
+
{
|
| 1560 |
+
"epoch": 0.49,
|
| 1561 |
+
"learning_rate": 1.0709194249432471e-05,
|
| 1562 |
+
"loss": 0.8537,
|
| 1563 |
+
"step": 259
|
| 1564 |
+
},
|
| 1565 |
+
{
|
| 1566 |
+
"epoch": 0.5,
|
| 1567 |
+
"learning_rate": 1.0647615665055251e-05,
|
| 1568 |
+
"loss": 1.0372,
|
| 1569 |
+
"step": 260
|
| 1570 |
+
},
|
| 1571 |
+
{
|
| 1572 |
+
"epoch": 0.5,
|
| 1573 |
+
"learning_rate": 1.0586012410053293e-05,
|
| 1574 |
+
"loss": 1.1696,
|
| 1575 |
+
"step": 261
|
| 1576 |
+
},
|
| 1577 |
+
{
|
| 1578 |
+
"epoch": 0.5,
|
| 1579 |
+
"learning_rate": 1.0524386831174629e-05,
|
| 1580 |
+
"loss": 1.0219,
|
| 1581 |
+
"step": 262
|
| 1582 |
+
},
|
| 1583 |
+
{
|
| 1584 |
+
"epoch": 0.5,
|
| 1585 |
+
"learning_rate": 1.0462741276017711e-05,
|
| 1586 |
+
"loss": 0.9949,
|
| 1587 |
+
"step": 263
|
| 1588 |
+
},
|
| 1589 |
+
{
|
| 1590 |
+
"epoch": 0.5,
|
| 1591 |
+
"learning_rate": 1.0401078092941972e-05,
|
| 1592 |
+
"loss": 0.886,
|
| 1593 |
+
"step": 264
|
| 1594 |
+
},
|
| 1595 |
+
{
|
| 1596 |
+
"epoch": 0.5,
|
| 1597 |
+
"learning_rate": 1.0339399630978373e-05,
|
| 1598 |
+
"loss": 1.2172,
|
| 1599 |
+
"step": 265
|
| 1600 |
+
},
|
| 1601 |
+
{
|
| 1602 |
+
"epoch": 0.51,
|
| 1603 |
+
"learning_rate": 1.0277708239739925e-05,
|
| 1604 |
+
"loss": 0.9929,
|
| 1605 |
+
"step": 266
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 0.51,
|
| 1609 |
+
"learning_rate": 1.021600626933217e-05,
|
| 1610 |
+
"loss": 0.9677,
|
| 1611 |
+
"step": 267
|
| 1612 |
+
},
|
| 1613 |
+
{
|
| 1614 |
+
"epoch": 0.51,
|
| 1615 |
+
"learning_rate": 1.0154296070263649e-05,
|
| 1616 |
+
"loss": 0.9792,
|
| 1617 |
+
"step": 268
|
| 1618 |
+
},
|
| 1619 |
+
{
|
| 1620 |
+
"epoch": 0.51,
|
| 1621 |
+
"learning_rate": 1.0092579993356386e-05,
|
| 1622 |
+
"loss": 1.0348,
|
| 1623 |
+
"step": 269
|
| 1624 |
+
},
|
| 1625 |
+
{
|
| 1626 |
+
"epoch": 0.51,
|
| 1627 |
+
"learning_rate": 1.0030860389656306e-05,
|
| 1628 |
+
"loss": 1.0046,
|
| 1629 |
+
"step": 270
|
| 1630 |
+
},
|
| 1631 |
+
{
|
| 1632 |
+
"epoch": 0.52,
|
| 1633 |
+
"learning_rate": 9.969139610343696e-06,
|
| 1634 |
+
"loss": 1.1282,
|
| 1635 |
+
"step": 271
|
| 1636 |
+
},
|
| 1637 |
+
{
|
| 1638 |
+
"epoch": 0.52,
|
| 1639 |
+
"learning_rate": 9.907420006643619e-06,
|
| 1640 |
+
"loss": 1.0213,
|
| 1641 |
+
"step": 272
|
| 1642 |
+
},
|
| 1643 |
+
{
|
| 1644 |
+
"epoch": 0.52,
|
| 1645 |
+
"learning_rate": 9.845703929736351e-06,
|
| 1646 |
+
"loss": 1.0319,
|
| 1647 |
+
"step": 273
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"epoch": 0.52,
|
| 1651 |
+
"learning_rate": 9.783993730667833e-06,
|
| 1652 |
+
"loss": 0.9653,
|
| 1653 |
+
"step": 274
|
| 1654 |
+
},
|
| 1655 |
+
{
|
| 1656 |
+
"epoch": 0.52,
|
| 1657 |
+
"learning_rate": 9.722291760260077e-06,
|
| 1658 |
+
"loss": 1.1236,
|
| 1659 |
+
"step": 275
|
| 1660 |
+
},
|
| 1661 |
+
{
|
| 1662 |
+
"epoch": 0.53,
|
| 1663 |
+
"learning_rate": 9.66060036902163e-06,
|
| 1664 |
+
"loss": 1.0243,
|
| 1665 |
+
"step": 276
|
| 1666 |
+
},
|
| 1667 |
+
{
|
| 1668 |
+
"epoch": 0.53,
|
| 1669 |
+
"learning_rate": 9.598921907058033e-06,
|
| 1670 |
+
"loss": 0.9902,
|
| 1671 |
+
"step": 277
|
| 1672 |
+
},
|
| 1673 |
+
{
|
| 1674 |
+
"epoch": 0.53,
|
| 1675 |
+
"learning_rate": 9.53725872398229e-06,
|
| 1676 |
+
"loss": 0.9274,
|
| 1677 |
+
"step": 278
|
| 1678 |
+
},
|
| 1679 |
+
{
|
| 1680 |
+
"epoch": 0.53,
|
| 1681 |
+
"learning_rate": 9.475613168825374e-06,
|
| 1682 |
+
"loss": 1.215,
|
| 1683 |
+
"step": 279
|
| 1684 |
+
},
|
| 1685 |
+
{
|
| 1686 |
+
"epoch": 0.53,
|
| 1687 |
+
"learning_rate": 9.41398758994671e-06,
|
| 1688 |
+
"loss": 0.9316,
|
| 1689 |
+
"step": 280
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 0.54,
|
| 1693 |
+
"learning_rate": 9.352384334944754e-06,
|
| 1694 |
+
"loss": 1.0422,
|
| 1695 |
+
"step": 281
|
| 1696 |
+
},
|
| 1697 |
+
{
|
| 1698 |
+
"epoch": 0.54,
|
| 1699 |
+
"learning_rate": 9.290805750567532e-06,
|
| 1700 |
+
"loss": 1.1358,
|
| 1701 |
+
"step": 282
|
| 1702 |
+
},
|
| 1703 |
+
{
|
| 1704 |
+
"epoch": 0.54,
|
| 1705 |
+
"learning_rate": 9.22925418262326e-06,
|
| 1706 |
+
"loss": 0.9926,
|
| 1707 |
+
"step": 283
|
| 1708 |
+
},
|
| 1709 |
+
{
|
| 1710 |
+
"epoch": 0.54,
|
| 1711 |
+
"learning_rate": 9.167731975890977e-06,
|
| 1712 |
+
"loss": 0.9155,
|
| 1713 |
+
"step": 284
|
| 1714 |
+
},
|
| 1715 |
+
{
|
| 1716 |
+
"epoch": 0.54,
|
| 1717 |
+
"learning_rate": 9.106241474031213e-06,
|
| 1718 |
+
"loss": 0.9292,
|
| 1719 |
+
"step": 285
|
| 1720 |
+
},
|
| 1721 |
+
{
|
| 1722 |
+
"epoch": 0.54,
|
| 1723 |
+
"learning_rate": 9.04478501949672e-06,
|
| 1724 |
+
"loss": 0.9266,
|
| 1725 |
+
"step": 286
|
| 1726 |
+
},
|
| 1727 |
+
{
|
| 1728 |
+
"epoch": 0.55,
|
| 1729 |
+
"learning_rate": 8.983364953443227e-06,
|
| 1730 |
+
"loss": 1.0313,
|
| 1731 |
+
"step": 287
|
| 1732 |
+
},
|
| 1733 |
+
{
|
| 1734 |
+
"epoch": 0.55,
|
| 1735 |
+
"learning_rate": 8.921983615640277e-06,
|
| 1736 |
+
"loss": 1.0648,
|
| 1737 |
+
"step": 288
|
| 1738 |
+
},
|
| 1739 |
+
{
|
| 1740 |
+
"epoch": 0.55,
|
| 1741 |
+
"learning_rate": 8.860643344382057e-06,
|
| 1742 |
+
"loss": 1.0713,
|
| 1743 |
+
"step": 289
|
| 1744 |
+
},
|
| 1745 |
+
{
|
| 1746 |
+
"epoch": 0.55,
|
| 1747 |
+
"learning_rate": 8.799346476398351e-06,
|
| 1748 |
+
"loss": 0.8234,
|
| 1749 |
+
"step": 290
|
| 1750 |
+
},
|
| 1751 |
+
{
|
| 1752 |
+
"epoch": 0.55,
|
| 1753 |
+
"learning_rate": 8.738095346765519e-06,
|
| 1754 |
+
"loss": 0.9235,
|
| 1755 |
+
"step": 291
|
| 1756 |
+
},
|
| 1757 |
+
{
|
| 1758 |
+
"epoch": 0.56,
|
| 1759 |
+
"learning_rate": 8.676892288817531e-06,
|
| 1760 |
+
"loss": 1.0543,
|
| 1761 |
+
"step": 292
|
| 1762 |
+
},
|
| 1763 |
+
{
|
| 1764 |
+
"epoch": 0.56,
|
| 1765 |
+
"learning_rate": 8.615739634057098e-06,
|
| 1766 |
+
"loss": 1.0305,
|
| 1767 |
+
"step": 293
|
| 1768 |
+
},
|
| 1769 |
+
{
|
| 1770 |
+
"epoch": 0.56,
|
| 1771 |
+
"learning_rate": 8.554639712066837e-06,
|
| 1772 |
+
"loss": 1.0071,
|
| 1773 |
+
"step": 294
|
| 1774 |
+
},
|
| 1775 |
+
{
|
| 1776 |
+
"epoch": 0.56,
|
| 1777 |
+
"learning_rate": 8.493594850420537e-06,
|
| 1778 |
+
"loss": 0.9926,
|
| 1779 |
+
"step": 295
|
| 1780 |
+
},
|
| 1781 |
+
{
|
| 1782 |
+
"epoch": 0.56,
|
| 1783 |
+
"learning_rate": 8.432607374594484e-06,
|
| 1784 |
+
"loss": 0.9834,
|
| 1785 |
+
"step": 296
|
| 1786 |
+
},
|
| 1787 |
+
{
|
| 1788 |
+
"epoch": 0.57,
|
| 1789 |
+
"learning_rate": 8.371679607878884e-06,
|
| 1790 |
+
"loss": 0.9733,
|
| 1791 |
+
"step": 297
|
| 1792 |
+
},
|
| 1793 |
+
{
|
| 1794 |
+
"epoch": 0.57,
|
| 1795 |
+
"learning_rate": 8.310813871289349e-06,
|
| 1796 |
+
"loss": 1.0198,
|
| 1797 |
+
"step": 298
|
| 1798 |
+
},
|
| 1799 |
+
{
|
| 1800 |
+
"epoch": 0.57,
|
| 1801 |
+
"learning_rate": 8.250012483478478e-06,
|
| 1802 |
+
"loss": 0.8944,
|
| 1803 |
+
"step": 299
|
| 1804 |
+
},
|
| 1805 |
+
{
|
| 1806 |
+
"epoch": 0.57,
|
| 1807 |
+
"learning_rate": 8.189277760647537e-06,
|
| 1808 |
+
"loss": 1.0853,
|
| 1809 |
+
"step": 300
|
| 1810 |
+
},
|
| 1811 |
+
{
|
| 1812 |
+
"epoch": 0.57,
|
| 1813 |
+
"learning_rate": 8.128612016458214e-06,
|
| 1814 |
+
"loss": 0.9688,
|
| 1815 |
+
"step": 301
|
| 1816 |
+
},
|
| 1817 |
+
{
|
| 1818 |
+
"epoch": 0.58,
|
| 1819 |
+
"learning_rate": 8.0680175619445e-06,
|
| 1820 |
+
"loss": 1.0182,
|
| 1821 |
+
"step": 302
|
| 1822 |
+
},
|
| 1823 |
+
{
|
| 1824 |
+
"epoch": 0.58,
|
| 1825 |
+
"learning_rate": 8.00749670542462e-06,
|
| 1826 |
+
"loss": 1.0056,
|
| 1827 |
+
"step": 303
|
| 1828 |
+
},
|
| 1829 |
+
{
|
| 1830 |
+
"epoch": 0.58,
|
| 1831 |
+
"learning_rate": 7.947051752413131e-06,
|
| 1832 |
+
"loss": 1.0006,
|
| 1833 |
+
"step": 304
|
| 1834 |
+
},
|
| 1835 |
+
{
|
| 1836 |
+
"epoch": 0.58,
|
| 1837 |
+
"learning_rate": 7.886685005533073e-06,
|
| 1838 |
+
"loss": 1.0194,
|
| 1839 |
+
"step": 305
|
| 1840 |
+
},
|
| 1841 |
+
{
|
| 1842 |
+
"epoch": 0.58,
|
| 1843 |
+
"learning_rate": 7.826398764428261e-06,
|
| 1844 |
+
"loss": 0.9406,
|
| 1845 |
+
"step": 306
|
| 1846 |
+
},
|
| 1847 |
+
{
|
| 1848 |
+
"epoch": 0.58,
|
| 1849 |
+
"learning_rate": 7.766195325675681e-06,
|
| 1850 |
+
"loss": 0.7382,
|
| 1851 |
+
"step": 307
|
| 1852 |
+
},
|
| 1853 |
+
{
|
| 1854 |
+
"epoch": 0.59,
|
| 1855 |
+
"learning_rate": 7.706076982698e-06,
|
| 1856 |
+
"loss": 1.205,
|
| 1857 |
+
"step": 308
|
| 1858 |
+
},
|
| 1859 |
+
{
|
| 1860 |
+
"epoch": 0.59,
|
| 1861 |
+
"learning_rate": 7.646046025676198e-06,
|
| 1862 |
+
"loss": 0.9854,
|
| 1863 |
+
"step": 309
|
| 1864 |
+
},
|
| 1865 |
+
{
|
| 1866 |
+
"epoch": 0.59,
|
| 1867 |
+
"learning_rate": 7.586104741462326e-06,
|
| 1868 |
+
"loss": 0.9266,
|
| 1869 |
+
"step": 310
|
| 1870 |
+
},
|
| 1871 |
+
{
|
| 1872 |
+
"epoch": 0.59,
|
| 1873 |
+
"learning_rate": 7.526255413492396e-06,
|
| 1874 |
+
"loss": 0.9455,
|
| 1875 |
+
"step": 311
|
| 1876 |
+
},
|
| 1877 |
+
{
|
| 1878 |
+
"epoch": 0.59,
|
| 1879 |
+
"learning_rate": 7.4665003216993835e-06,
|
| 1880 |
+
"loss": 0.8424,
|
| 1881 |
+
"step": 312
|
| 1882 |
+
},
|
| 1883 |
+
{
|
| 1884 |
+
"epoch": 0.6,
|
| 1885 |
+
"learning_rate": 7.40684174242638e-06,
|
| 1886 |
+
"loss": 1.0366,
|
| 1887 |
+
"step": 313
|
| 1888 |
+
},
|
| 1889 |
+
{
|
| 1890 |
+
"epoch": 0.6,
|
| 1891 |
+
"learning_rate": 7.34728194833988e-06,
|
| 1892 |
+
"loss": 1.1087,
|
| 1893 |
+
"step": 314
|
| 1894 |
+
},
|
| 1895 |
+
{
|
| 1896 |
+
"epoch": 0.6,
|
| 1897 |
+
"learning_rate": 7.287823208343192e-06,
|
| 1898 |
+
"loss": 1.0448,
|
| 1899 |
+
"step": 315
|
| 1900 |
+
},
|
| 1901 |
+
{
|
| 1902 |
+
"epoch": 0.6,
|
| 1903 |
+
"learning_rate": 7.2284677874900285e-06,
|
| 1904 |
+
"loss": 1.0783,
|
| 1905 |
+
"step": 316
|
| 1906 |
+
},
|
| 1907 |
+
{
|
| 1908 |
+
"epoch": 0.6,
|
| 1909 |
+
"learning_rate": 7.169217946898197e-06,
|
| 1910 |
+
"loss": 1.1065,
|
| 1911 |
+
"step": 317
|
| 1912 |
+
},
|
| 1913 |
+
{
|
| 1914 |
+
"epoch": 0.61,
|
| 1915 |
+
"learning_rate": 7.110075943663473e-06,
|
| 1916 |
+
"loss": 0.9442,
|
| 1917 |
+
"step": 318
|
| 1918 |
+
},
|
| 1919 |
+
{
|
| 1920 |
+
"epoch": 0.61,
|
| 1921 |
+
"learning_rate": 7.051044030773619e-06,
|
| 1922 |
+
"loss": 1.1005,
|
| 1923 |
+
"step": 319
|
| 1924 |
+
},
|
| 1925 |
+
{
|
| 1926 |
+
"epoch": 0.61,
|
| 1927 |
+
"learning_rate": 6.9921244570225536e-06,
|
| 1928 |
+
"loss": 1.0234,
|
| 1929 |
+
"step": 320
|
| 1930 |
+
},
|
| 1931 |
+
{
|
| 1932 |
+
"epoch": 0.61,
|
| 1933 |
+
"learning_rate": 6.933319466924693e-06,
|
| 1934 |
+
"loss": 1.0285,
|
| 1935 |
+
"step": 321
|
| 1936 |
+
},
|
| 1937 |
+
{
|
| 1938 |
+
"epoch": 0.61,
|
| 1939 |
+
"learning_rate": 6.874631300629435e-06,
|
| 1940 |
+
"loss": 0.9707,
|
| 1941 |
+
"step": 322
|
| 1942 |
+
},
|
| 1943 |
+
{
|
| 1944 |
+
"epoch": 0.62,
|
| 1945 |
+
"learning_rate": 6.81606219383583e-06,
|
| 1946 |
+
"loss": 0.9826,
|
| 1947 |
+
"step": 323
|
| 1948 |
+
},
|
| 1949 |
+
{
|
| 1950 |
+
"epoch": 0.62,
|
| 1951 |
+
"learning_rate": 6.757614377707409e-06,
|
| 1952 |
+
"loss": 0.8997,
|
| 1953 |
+
"step": 324
|
| 1954 |
+
},
|
| 1955 |
+
{
|
| 1956 |
+
"epoch": 0.62,
|
| 1957 |
+
"learning_rate": 6.699290078787193e-06,
|
| 1958 |
+
"loss": 1.0546,
|
| 1959 |
+
"step": 325
|
| 1960 |
+
},
|
| 1961 |
+
{
|
| 1962 |
+
"epoch": 0.62,
|
| 1963 |
+
"learning_rate": 6.6410915189128675e-06,
|
| 1964 |
+
"loss": 1.138,
|
| 1965 |
+
"step": 326
|
| 1966 |
+
},
|
| 1967 |
+
{
|
| 1968 |
+
"epoch": 0.62,
|
| 1969 |
+
"learning_rate": 6.5830209151321525e-06,
|
| 1970 |
+
"loss": 1.1151,
|
| 1971 |
+
"step": 327
|
| 1972 |
+
},
|
| 1973 |
+
{
|
| 1974 |
+
"epoch": 0.62,
|
| 1975 |
+
"learning_rate": 6.525080479618331e-06,
|
| 1976 |
+
"loss": 1.1214,
|
| 1977 |
+
"step": 328
|
| 1978 |
+
},
|
| 1979 |
+
{
|
| 1980 |
+
"epoch": 0.63,
|
| 1981 |
+
"learning_rate": 6.467272419585984e-06,
|
| 1982 |
+
"loss": 0.9674,
|
| 1983 |
+
"step": 329
|
| 1984 |
+
},
|
| 1985 |
+
{
|
| 1986 |
+
"epoch": 0.63,
|
| 1987 |
+
"learning_rate": 6.40959893720692e-06,
|
| 1988 |
+
"loss": 1.0787,
|
| 1989 |
+
"step": 330
|
| 1990 |
+
},
|
| 1991 |
+
{
|
| 1992 |
+
"epoch": 0.63,
|
| 1993 |
+
"learning_rate": 6.352062229526266e-06,
|
| 1994 |
+
"loss": 0.9351,
|
| 1995 |
+
"step": 331
|
| 1996 |
+
},
|
| 1997 |
+
{
|
| 1998 |
+
"epoch": 0.63,
|
| 1999 |
+
"learning_rate": 6.294664488378777e-06,
|
| 2000 |
+
"loss": 1.0169,
|
| 2001 |
+
"step": 332
|
| 2002 |
+
},
|
| 2003 |
+
{
|
| 2004 |
+
"epoch": 0.63,
|
| 2005 |
+
"learning_rate": 6.237407900305334e-06,
|
| 2006 |
+
"loss": 0.9301,
|
| 2007 |
+
"step": 333
|
| 2008 |
+
},
|
| 2009 |
+
{
|
| 2010 |
+
"epoch": 0.64,
|
| 2011 |
+
"learning_rate": 6.18029464646968e-06,
|
| 2012 |
+
"loss": 0.9611,
|
| 2013 |
+
"step": 334
|
| 2014 |
+
},
|
| 2015 |
+
{
|
| 2016 |
+
"epoch": 0.64,
|
| 2017 |
+
"learning_rate": 6.123326902575282e-06,
|
| 2018 |
+
"loss": 1.0809,
|
| 2019 |
+
"step": 335
|
| 2020 |
+
},
|
| 2021 |
+
{
|
| 2022 |
+
"epoch": 0.64,
|
| 2023 |
+
"learning_rate": 6.06650683878248e-06,
|
| 2024 |
+
"loss": 1.0369,
|
| 2025 |
+
"step": 336
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"epoch": 0.64,
|
| 2029 |
+
"learning_rate": 6.0098366196258095e-06,
|
| 2030 |
+
"loss": 0.9603,
|
| 2031 |
+
"step": 337
|
| 2032 |
+
},
|
| 2033 |
+
{
|
| 2034 |
+
"epoch": 0.64,
|
| 2035 |
+
"learning_rate": 5.953318403931533e-06,
|
| 2036 |
+
"loss": 1.018,
|
| 2037 |
+
"step": 338
|
| 2038 |
+
},
|
| 2039 |
+
{
|
| 2040 |
+
"epoch": 0.65,
|
| 2041 |
+
"learning_rate": 5.896954344735426e-06,
|
| 2042 |
+
"loss": 0.9963,
|
| 2043 |
+
"step": 339
|
| 2044 |
+
},
|
| 2045 |
+
{
|
| 2046 |
+
"epoch": 0.65,
|
| 2047 |
+
"learning_rate": 5.840746589200732e-06,
|
| 2048 |
+
"loss": 0.9803,
|
| 2049 |
+
"step": 340
|
| 2050 |
+
},
|
| 2051 |
+
{
|
| 2052 |
+
"epoch": 0.65,
|
| 2053 |
+
"learning_rate": 5.78469727853638e-06,
|
| 2054 |
+
"loss": 0.9496,
|
| 2055 |
+
"step": 341
|
| 2056 |
+
},
|
| 2057 |
+
{
|
| 2058 |
+
"epoch": 0.65,
|
| 2059 |
+
"learning_rate": 5.728808547915405e-06,
|
| 2060 |
+
"loss": 0.9574,
|
| 2061 |
+
"step": 342
|
| 2062 |
+
},
|
| 2063 |
+
{
|
| 2064 |
+
"epoch": 0.65,
|
| 2065 |
+
"learning_rate": 5.673082526393634e-06,
|
| 2066 |
+
"loss": 1.0413,
|
| 2067 |
+
"step": 343
|
| 2068 |
+
},
|
| 2069 |
+
{
|
| 2070 |
+
"epoch": 0.66,
|
| 2071 |
+
"learning_rate": 5.617521336828556e-06,
|
| 2072 |
+
"loss": 1.0234,
|
| 2073 |
+
"step": 344
|
| 2074 |
+
},
|
| 2075 |
+
{
|
| 2076 |
+
"epoch": 0.66,
|
| 2077 |
+
"learning_rate": 5.5621270957984575e-06,
|
| 2078 |
+
"loss": 0.9281,
|
| 2079 |
+
"step": 345
|
| 2080 |
+
},
|
| 2081 |
+
{
|
| 2082 |
+
"epoch": 0.66,
|
| 2083 |
+
"learning_rate": 5.506901913521808e-06,
|
| 2084 |
+
"loss": 0.9141,
|
| 2085 |
+
"step": 346
|
| 2086 |
+
},
|
| 2087 |
+
{
|
| 2088 |
+
"epoch": 0.66,
|
| 2089 |
+
"learning_rate": 5.451847893776845e-06,
|
| 2090 |
+
"loss": 1.0553,
|
| 2091 |
+
"step": 347
|
| 2092 |
+
},
|
| 2093 |
+
{
|
| 2094 |
+
"epoch": 0.66,
|
| 2095 |
+
"learning_rate": 5.396967133821461e-06,
|
| 2096 |
+
"loss": 1.0136,
|
| 2097 |
+
"step": 348
|
| 2098 |
+
},
|
| 2099 |
+
{
|
| 2100 |
+
"epoch": 0.66,
|
| 2101 |
+
"learning_rate": 5.342261724313292e-06,
|
| 2102 |
+
"loss": 0.8781,
|
| 2103 |
+
"step": 349
|
| 2104 |
+
},
|
| 2105 |
+
{
|
| 2106 |
+
"epoch": 0.67,
|
| 2107 |
+
"learning_rate": 5.287733749230071e-06,
|
| 2108 |
+
"loss": 1.0005,
|
| 2109 |
+
"step": 350
|
| 2110 |
+
},
|
| 2111 |
+
{
|
| 2112 |
+
"epoch": 0.67,
|
| 2113 |
+
"learning_rate": 5.233385285790258e-06,
|
| 2114 |
+
"loss": 1.0315,
|
| 2115 |
+
"step": 351
|
| 2116 |
+
},
|
| 2117 |
+
{
|
| 2118 |
+
"epoch": 0.67,
|
| 2119 |
+
"learning_rate": 5.179218404373886e-06,
|
| 2120 |
+
"loss": 0.9875,
|
| 2121 |
+
"step": 352
|
| 2122 |
+
},
|
| 2123 |
+
{
|
| 2124 |
+
"epoch": 0.67,
|
| 2125 |
+
"learning_rate": 5.125235168443714e-06,
|
| 2126 |
+
"loss": 1.0762,
|
| 2127 |
+
"step": 353
|
| 2128 |
+
},
|
| 2129 |
+
{
|
| 2130 |
+
"epoch": 0.67,
|
| 2131 |
+
"learning_rate": 5.0714376344666095e-06,
|
| 2132 |
+
"loss": 0.9883,
|
| 2133 |
+
"step": 354
|
| 2134 |
+
},
|
| 2135 |
+
{
|
| 2136 |
+
"epoch": 0.68,
|
| 2137 |
+
"learning_rate": 5.017827851835199e-06,
|
| 2138 |
+
"loss": 1.0402,
|
| 2139 |
+
"step": 355
|
| 2140 |
+
},
|
| 2141 |
+
{
|
| 2142 |
+
"epoch": 0.68,
|
| 2143 |
+
"learning_rate": 4.964407862789817e-06,
|
| 2144 |
+
"loss": 0.9832,
|
| 2145 |
+
"step": 356
|
| 2146 |
+
},
|
| 2147 |
+
{
|
| 2148 |
+
"epoch": 0.68,
|
| 2149 |
+
"learning_rate": 4.9111797023406884e-06,
|
| 2150 |
+
"loss": 1.064,
|
| 2151 |
+
"step": 357
|
| 2152 |
+
},
|
| 2153 |
+
{
|
| 2154 |
+
"epoch": 0.68,
|
| 2155 |
+
"learning_rate": 4.8581453981904205e-06,
|
| 2156 |
+
"loss": 0.8565,
|
| 2157 |
+
"step": 358
|
| 2158 |
+
},
|
| 2159 |
+
{
|
| 2160 |
+
"epoch": 0.68,
|
| 2161 |
+
"learning_rate": 4.8053069706567555e-06,
|
| 2162 |
+
"loss": 0.9622,
|
| 2163 |
+
"step": 359
|
| 2164 |
+
},
|
| 2165 |
+
{
|
| 2166 |
+
"epoch": 0.69,
|
| 2167 |
+
"learning_rate": 4.752666432595596e-06,
|
| 2168 |
+
"loss": 0.9257,
|
| 2169 |
+
"step": 360
|
| 2170 |
+
},
|
| 2171 |
+
{
|
| 2172 |
+
"epoch": 0.69,
|
| 2173 |
+
"learning_rate": 4.700225789324343e-06,
|
| 2174 |
+
"loss": 1.0264,
|
| 2175 |
+
"step": 361
|
| 2176 |
+
},
|
| 2177 |
+
{
|
| 2178 |
+
"epoch": 0.69,
|
| 2179 |
+
"learning_rate": 4.647987038545496e-06,
|
| 2180 |
+
"loss": 0.9795,
|
| 2181 |
+
"step": 362
|
| 2182 |
+
},
|
| 2183 |
+
{
|
| 2184 |
+
"epoch": 0.69,
|
| 2185 |
+
"learning_rate": 4.595952170270542e-06,
|
| 2186 |
+
"loss": 1.1062,
|
| 2187 |
+
"step": 363
|
| 2188 |
+
},
|
| 2189 |
+
{
|
| 2190 |
+
"epoch": 0.69,
|
| 2191 |
+
"learning_rate": 4.5441231667441724e-06,
|
| 2192 |
+
"loss": 0.878,
|
| 2193 |
+
"step": 364
|
| 2194 |
+
},
|
| 2195 |
+
{
|
| 2196 |
+
"epoch": 0.7,
|
| 2197 |
+
"learning_rate": 4.492502002368738e-06,
|
| 2198 |
+
"loss": 1.1202,
|
| 2199 |
+
"step": 365
|
| 2200 |
+
},
|
| 2201 |
+
{
|
| 2202 |
+
"epoch": 0.7,
|
| 2203 |
+
"learning_rate": 4.441090643629057e-06,
|
| 2204 |
+
"loss": 0.9125,
|
| 2205 |
+
"step": 366
|
| 2206 |
+
},
|
| 2207 |
+
{
|
| 2208 |
+
"epoch": 0.7,
|
| 2209 |
+
"learning_rate": 4.389891049017511e-06,
|
| 2210 |
+
"loss": 0.9245,
|
| 2211 |
+
"step": 367
|
| 2212 |
+
},
|
| 2213 |
+
{
|
| 2214 |
+
"epoch": 0.7,
|
| 2215 |
+
"learning_rate": 4.3389051689594e-06,
|
| 2216 |
+
"loss": 0.8584,
|
| 2217 |
+
"step": 368
|
| 2218 |
+
},
|
| 2219 |
+
{
|
| 2220 |
+
"epoch": 0.7,
|
| 2221 |
+
"learning_rate": 4.288134945738684e-06,
|
| 2222 |
+
"loss": 0.9324,
|
| 2223 |
+
"step": 369
|
| 2224 |
+
},
|
| 2225 |
+
{
|
| 2226 |
+
"epoch": 0.7,
|
| 2227 |
+
"learning_rate": 4.2375823134239624e-06,
|
| 2228 |
+
"loss": 0.9386,
|
| 2229 |
+
"step": 370
|
| 2230 |
+
},
|
| 2231 |
+
{
|
| 2232 |
+
"epoch": 0.71,
|
| 2233 |
+
"learning_rate": 4.1872491977948125e-06,
|
| 2234 |
+
"loss": 1.072,
|
| 2235 |
+
"step": 371
|
| 2236 |
+
},
|
| 2237 |
+
{
|
| 2238 |
+
"epoch": 0.71,
|
| 2239 |
+
"learning_rate": 4.1371375162684255e-06,
|
| 2240 |
+
"loss": 1.0002,
|
| 2241 |
+
"step": 372
|
| 2242 |
+
},
|
| 2243 |
+
{
|
| 2244 |
+
"epoch": 0.71,
|
| 2245 |
+
"learning_rate": 4.087249177826553e-06,
|
| 2246 |
+
"loss": 1.0169,
|
| 2247 |
+
"step": 373
|
| 2248 |
+
},
|
| 2249 |
+
{
|
| 2250 |
+
"epoch": 0.71,
|
| 2251 |
+
"learning_rate": 4.037586082942805e-06,
|
| 2252 |
+
"loss": 0.9317,
|
| 2253 |
+
"step": 374
|
| 2254 |
+
},
|
| 2255 |
+
{
|
| 2256 |
+
"epoch": 0.71,
|
| 2257 |
+
"learning_rate": 3.988150123510224e-06,
|
| 2258 |
+
"loss": 1.0668,
|
| 2259 |
+
"step": 375
|
| 2260 |
+
},
|
| 2261 |
+
{
|
| 2262 |
+
"epoch": 0.72,
|
| 2263 |
+
"learning_rate": 3.9389431827692455e-06,
|
| 2264 |
+
"loss": 1.1167,
|
| 2265 |
+
"step": 376
|
| 2266 |
+
},
|
| 2267 |
+
{
|
| 2268 |
+
"epoch": 0.72,
|
| 2269 |
+
"learning_rate": 3.88996713523594e-06,
|
| 2270 |
+
"loss": 0.9246,
|
| 2271 |
+
"step": 377
|
| 2272 |
+
},
|
| 2273 |
+
{
|
| 2274 |
+
"epoch": 0.72,
|
| 2275 |
+
"learning_rate": 3.841223846630599e-06,
|
| 2276 |
+
"loss": 1.3171,
|
| 2277 |
+
"step": 378
|
| 2278 |
+
},
|
| 2279 |
+
{
|
| 2280 |
+
"epoch": 0.72,
|
| 2281 |
+
"learning_rate": 3.7927151738066693e-06,
|
| 2282 |
+
"loss": 1.092,
|
| 2283 |
+
"step": 379
|
| 2284 |
+
},
|
| 2285 |
+
{
|
| 2286 |
+
"epoch": 0.72,
|
| 2287 |
+
"learning_rate": 3.7444429646800206e-06,
|
| 2288 |
+
"loss": 0.9919,
|
| 2289 |
+
"step": 380
|
| 2290 |
+
},
|
| 2291 |
+
{
|
| 2292 |
+
"epoch": 0.73,
|
| 2293 |
+
"learning_rate": 3.696409058158544e-06,
|
| 2294 |
+
"loss": 0.9269,
|
| 2295 |
+
"step": 381
|
| 2296 |
+
},
|
| 2297 |
+
{
|
| 2298 |
+
"epoch": 0.73,
|
| 2299 |
+
"learning_rate": 3.6486152840721046e-06,
|
| 2300 |
+
"loss": 1.0242,
|
| 2301 |
+
"step": 382
|
| 2302 |
+
},
|
| 2303 |
+
{
|
| 2304 |
+
"epoch": 0.73,
|
| 2305 |
+
"learning_rate": 3.601063463102823e-06,
|
| 2306 |
+
"loss": 1.0446,
|
| 2307 |
+
"step": 383
|
| 2308 |
+
},
|
| 2309 |
+
{
|
| 2310 |
+
"epoch": 0.73,
|
| 2311 |
+
"learning_rate": 3.553755406715724e-06,
|
| 2312 |
+
"loss": 0.9833,
|
| 2313 |
+
"step": 384
|
| 2314 |
+
},
|
| 2315 |
+
{
|
| 2316 |
+
"epoch": 0.73,
|
| 2317 |
+
"learning_rate": 3.506692917089751e-06,
|
| 2318 |
+
"loss": 1.0029,
|
| 2319 |
+
"step": 385
|
| 2320 |
+
},
|
| 2321 |
+
{
|
| 2322 |
+
"epoch": 0.74,
|
| 2323 |
+
"learning_rate": 3.4598777870490717e-06,
|
| 2324 |
+
"loss": 0.9458,
|
| 2325 |
+
"step": 386
|
| 2326 |
+
},
|
| 2327 |
+
{
|
| 2328 |
+
"epoch": 0.74,
|
| 2329 |
+
"learning_rate": 3.4133117999948086e-06,
|
| 2330 |
+
"loss": 1.0084,
|
| 2331 |
+
"step": 387
|
| 2332 |
+
},
|
| 2333 |
+
{
|
| 2334 |
+
"epoch": 0.74,
|
| 2335 |
+
"learning_rate": 3.366996729837102e-06,
|
| 2336 |
+
"loss": 1.0454,
|
| 2337 |
+
"step": 388
|
| 2338 |
+
},
|
| 2339 |
+
{
|
| 2340 |
+
"epoch": 0.74,
|
| 2341 |
+
"learning_rate": 3.320934340927513e-06,
|
| 2342 |
+
"loss": 1.0022,
|
| 2343 |
+
"step": 389
|
| 2344 |
+
},
|
| 2345 |
+
{
|
| 2346 |
+
"epoch": 0.74,
|
| 2347 |
+
"learning_rate": 3.275126387991847e-06,
|
| 2348 |
+
"loss": 1.0804,
|
| 2349 |
+
"step": 390
|
| 2350 |
+
},
|
| 2351 |
+
{
|
| 2352 |
+
"epoch": 0.74,
|
| 2353 |
+
"learning_rate": 3.229574616063268e-06,
|
| 2354 |
+
"loss": 1.0618,
|
| 2355 |
+
"step": 391
|
| 2356 |
+
},
|
| 2357 |
+
{
|
| 2358 |
+
"epoch": 0.75,
|
| 2359 |
+
"learning_rate": 3.184280760415843e-06,
|
| 2360 |
+
"loss": 0.8866,
|
| 2361 |
+
"step": 392
|
| 2362 |
+
},
|
| 2363 |
+
{
|
| 2364 |
+
"epoch": 0.75,
|
| 2365 |
+
"learning_rate": 3.1392465464984455e-06,
|
| 2366 |
+
"loss": 1.0266,
|
| 2367 |
+
"step": 393
|
| 2368 |
+
},
|
| 2369 |
+
{
|
| 2370 |
+
"epoch": 0.75,
|
| 2371 |
+
"learning_rate": 3.094473689869002e-06,
|
| 2372 |
+
"loss": 1.0078,
|
| 2373 |
+
"step": 394
|
| 2374 |
+
},
|
| 2375 |
+
{
|
| 2376 |
+
"epoch": 0.75,
|
| 2377 |
+
"learning_rate": 3.0499638961291623e-06,
|
| 2378 |
+
"loss": 0.9705,
|
| 2379 |
+
"step": 395
|
| 2380 |
+
},
|
| 2381 |
+
{
|
| 2382 |
+
"epoch": 0.75,
|
| 2383 |
+
"learning_rate": 3.0057188608593146e-06,
|
| 2384 |
+
"loss": 0.9405,
|
| 2385 |
+
"step": 396
|
| 2386 |
+
},
|
| 2387 |
+
{
|
| 2388 |
+
"epoch": 0.76,
|
| 2389 |
+
"learning_rate": 2.961740269553981e-06,
|
| 2390 |
+
"loss": 1.0097,
|
| 2391 |
+
"step": 397
|
| 2392 |
+
},
|
| 2393 |
+
{
|
| 2394 |
+
"epoch": 0.76,
|
| 2395 |
+
"learning_rate": 2.9180297975576368e-06,
|
| 2396 |
+
"loss": 1.1537,
|
| 2397 |
+
"step": 398
|
| 2398 |
+
},
|
| 2399 |
+
{
|
| 2400 |
+
"epoch": 0.76,
|
| 2401 |
+
"learning_rate": 2.8745891100008683e-06,
|
| 2402 |
+
"loss": 0.967,
|
| 2403 |
+
"step": 399
|
| 2404 |
+
},
|
| 2405 |
+
{
|
| 2406 |
+
"epoch": 0.76,
|
| 2407 |
+
"learning_rate": 2.8314198617369403e-06,
|
| 2408 |
+
"loss": 0.8564,
|
| 2409 |
+
"step": 400
|
| 2410 |
+
},
|
| 2411 |
+
{
|
| 2412 |
+
"epoch": 0.76,
|
| 2413 |
+
"learning_rate": 2.7885236972787733e-06,
|
| 2414 |
+
"loss": 0.919,
|
| 2415 |
+
"step": 401
|
| 2416 |
+
},
|
| 2417 |
+
{
|
| 2418 |
+
"epoch": 0.77,
|
| 2419 |
+
"learning_rate": 2.7459022507362687e-06,
|
| 2420 |
+
"loss": 1.0236,
|
| 2421 |
+
"step": 402
|
| 2422 |
+
},
|
| 2423 |
+
{
|
| 2424 |
+
"epoch": 0.77,
|
| 2425 |
+
"learning_rate": 2.7035571457540865e-06,
|
| 2426 |
+
"loss": 0.964,
|
| 2427 |
+
"step": 403
|
| 2428 |
+
},
|
| 2429 |
+
{
|
| 2430 |
+
"epoch": 0.77,
|
| 2431 |
+
"learning_rate": 2.6614899954497797e-06,
|
| 2432 |
+
"loss": 1.0324,
|
| 2433 |
+
"step": 404
|
| 2434 |
+
},
|
| 2435 |
+
{
|
| 2436 |
+
"epoch": 0.77,
|
| 2437 |
+
"learning_rate": 2.619702402352332e-06,
|
| 2438 |
+
"loss": 0.9101,
|
| 2439 |
+
"step": 405
|
| 2440 |
+
},
|
| 2441 |
+
{
|
| 2442 |
+
"epoch": 0.77,
|
| 2443 |
+
"learning_rate": 2.5781959583411375e-06,
|
| 2444 |
+
"loss": 0.9287,
|
| 2445 |
+
"step": 406
|
| 2446 |
+
},
|
| 2447 |
+
{
|
| 2448 |
+
"epoch": 0.78,
|
| 2449 |
+
"learning_rate": 2.536972244585331e-06,
|
| 2450 |
+
"loss": 1.0566,
|
| 2451 |
+
"step": 407
|
| 2452 |
+
},
|
| 2453 |
+
{
|
| 2454 |
+
"epoch": 0.78,
|
| 2455 |
+
"learning_rate": 2.4960328314835746e-06,
|
| 2456 |
+
"loss": 0.9279,
|
| 2457 |
+
"step": 408
|
| 2458 |
+
},
|
| 2459 |
+
{
|
| 2460 |
+
"epoch": 0.78,
|
| 2461 |
+
"learning_rate": 2.455379278604226e-06,
|
| 2462 |
+
"loss": 1.021,
|
| 2463 |
+
"step": 409
|
| 2464 |
+
},
|
| 2465 |
+
{
|
| 2466 |
+
"epoch": 0.78,
|
| 2467 |
+
"learning_rate": 2.41501313462592e-06,
|
| 2468 |
+
"loss": 0.8296,
|
| 2469 |
+
"step": 410
|
| 2470 |
+
},
|
| 2471 |
+
{
|
| 2472 |
+
"epoch": 0.78,
|
| 2473 |
+
"learning_rate": 2.3749359372785884e-06,
|
| 2474 |
+
"loss": 0.9509,
|
| 2475 |
+
"step": 411
|
| 2476 |
+
},
|
| 2477 |
+
{
|
| 2478 |
+
"epoch": 0.78,
|
| 2479 |
+
"learning_rate": 2.3351492132848665e-06,
|
| 2480 |
+
"loss": 0.9372,
|
| 2481 |
+
"step": 412
|
| 2482 |
+
},
|
| 2483 |
+
{
|
| 2484 |
+
"epoch": 0.79,
|
| 2485 |
+
"learning_rate": 2.295654478301942e-06,
|
| 2486 |
+
"loss": 1.0208,
|
| 2487 |
+
"step": 413
|
| 2488 |
+
},
|
| 2489 |
+
{
|
| 2490 |
+
"epoch": 0.79,
|
| 2491 |
+
"learning_rate": 2.256453236863815e-06,
|
| 2492 |
+
"loss": 1.0768,
|
| 2493 |
+
"step": 414
|
| 2494 |
+
},
|
| 2495 |
+
{
|
| 2496 |
+
"epoch": 0.79,
|
| 2497 |
+
"learning_rate": 2.217546982323977e-06,
|
| 2498 |
+
"loss": 1.0822,
|
| 2499 |
+
"step": 415
|
| 2500 |
+
},
|
| 2501 |
+
{
|
| 2502 |
+
"epoch": 0.79,
|
| 2503 |
+
"learning_rate": 2.178937196798534e-06,
|
| 2504 |
+
"loss": 1.0618,
|
| 2505 |
+
"step": 416
|
| 2506 |
+
},
|
| 2507 |
+
{
|
| 2508 |
+
"epoch": 0.79,
|
| 2509 |
+
"learning_rate": 2.140625351109733e-06,
|
| 2510 |
+
"loss": 1.0208,
|
| 2511 |
+
"step": 417
|
| 2512 |
+
},
|
| 2513 |
+
{
|
| 2514 |
+
"epoch": 0.8,
|
| 2515 |
+
"learning_rate": 2.1026129047299436e-06,
|
| 2516 |
+
"loss": 0.8305,
|
| 2517 |
+
"step": 418
|
| 2518 |
+
},
|
| 2519 |
+
{
|
| 2520 |
+
"epoch": 0.8,
|
| 2521 |
+
"learning_rate": 2.064901305726055e-06,
|
| 2522 |
+
"loss": 1.0297,
|
| 2523 |
+
"step": 419
|
| 2524 |
+
},
|
| 2525 |
+
{
|
| 2526 |
+
"epoch": 0.8,
|
| 2527 |
+
"learning_rate": 2.0274919907043033e-06,
|
| 2528 |
+
"loss": 0.9256,
|
| 2529 |
+
"step": 420
|
| 2530 |
+
},
|
| 2531 |
+
{
|
| 2532 |
+
"epoch": 0.8,
|
| 2533 |
+
"learning_rate": 1.990386384755565e-06,
|
| 2534 |
+
"loss": 0.9384,
|
| 2535 |
+
"step": 421
|
| 2536 |
+
},
|
| 2537 |
+
{
|
| 2538 |
+
"epoch": 0.8,
|
| 2539 |
+
"learning_rate": 1.9535859014010525e-06,
|
| 2540 |
+
"loss": 0.9526,
|
| 2541 |
+
"step": 422
|
| 2542 |
+
},
|
| 2543 |
+
{
|
| 2544 |
+
"epoch": 0.81,
|
| 2545 |
+
"learning_rate": 1.9170919425384695e-06,
|
| 2546 |
+
"loss": 1.1685,
|
| 2547 |
+
"step": 423
|
| 2548 |
+
},
|
| 2549 |
+
{
|
| 2550 |
+
"epoch": 0.81,
|
| 2551 |
+
"learning_rate": 1.880905898388612e-06,
|
| 2552 |
+
"loss": 0.8731,
|
| 2553 |
+
"step": 424
|
| 2554 |
+
},
|
| 2555 |
+
{
|
| 2556 |
+
"epoch": 0.81,
|
| 2557 |
+
"learning_rate": 1.8450291474423999e-06,
|
| 2558 |
+
"loss": 0.9038,
|
| 2559 |
+
"step": 425
|
| 2560 |
+
},
|
| 2561 |
+
{
|
| 2562 |
+
"epoch": 0.81,
|
| 2563 |
+
"learning_rate": 1.8094630564083737e-06,
|
| 2564 |
+
"loss": 0.9914,
|
| 2565 |
+
"step": 426
|
| 2566 |
+
},
|
| 2567 |
+
{
|
| 2568 |
+
"epoch": 0.81,
|
| 2569 |
+
"learning_rate": 1.7742089801606278e-06,
|
| 2570 |
+
"loss": 0.9217,
|
| 2571 |
+
"step": 427
|
| 2572 |
+
},
|
| 2573 |
+
{
|
| 2574 |
+
"epoch": 0.82,
|
| 2575 |
+
"learning_rate": 1.7392682616871836e-06,
|
| 2576 |
+
"loss": 0.9949,
|
| 2577 |
+
"step": 428
|
| 2578 |
+
},
|
| 2579 |
+
{
|
| 2580 |
+
"epoch": 0.82,
|
| 2581 |
+
"learning_rate": 1.7046422320388556e-06,
|
| 2582 |
+
"loss": 1.0348,
|
| 2583 |
+
"step": 429
|
| 2584 |
+
},
|
| 2585 |
+
{
|
| 2586 |
+
"epoch": 0.82,
|
| 2587 |
+
"learning_rate": 1.6703322102785168e-06,
|
| 2588 |
+
"loss": 0.8882,
|
| 2589 |
+
"step": 430
|
| 2590 |
+
},
|
| 2591 |
+
{
|
| 2592 |
+
"epoch": 0.82,
|
| 2593 |
+
"learning_rate": 1.6363395034308704e-06,
|
| 2594 |
+
"loss": 0.9555,
|
| 2595 |
+
"step": 431
|
| 2596 |
+
},
|
| 2597 |
+
{
|
| 2598 |
+
"epoch": 0.82,
|
| 2599 |
+
"learning_rate": 1.6026654064326553e-06,
|
| 2600 |
+
"loss": 1.0105,
|
| 2601 |
+
"step": 432
|
| 2602 |
+
},
|
| 2603 |
+
{
|
| 2604 |
+
"epoch": 0.82,
|
| 2605 |
+
"learning_rate": 1.5693112020833012e-06,
|
| 2606 |
+
"loss": 1.0233,
|
| 2607 |
+
"step": 433
|
| 2608 |
+
},
|
| 2609 |
+
{
|
| 2610 |
+
"epoch": 0.83,
|
| 2611 |
+
"learning_rate": 1.5362781609960853e-06,
|
| 2612 |
+
"loss": 0.8375,
|
| 2613 |
+
"step": 434
|
| 2614 |
+
},
|
| 2615 |
+
{
|
| 2616 |
+
"epoch": 0.83,
|
| 2617 |
+
"learning_rate": 1.5035675415497064e-06,
|
| 2618 |
+
"loss": 0.9687,
|
| 2619 |
+
"step": 435
|
| 2620 |
+
},
|
| 2621 |
+
{
|
| 2622 |
+
"epoch": 0.83,
|
| 2623 |
+
"learning_rate": 1.471180589840363e-06,
|
| 2624 |
+
"loss": 1.0763,
|
| 2625 |
+
"step": 436
|
| 2626 |
+
},
|
| 2627 |
+
{
|
| 2628 |
+
"epoch": 0.83,
|
| 2629 |
+
"learning_rate": 1.4391185396342787e-06,
|
| 2630 |
+
"loss": 0.8356,
|
| 2631 |
+
"step": 437
|
| 2632 |
+
},
|
| 2633 |
+
{
|
| 2634 |
+
"epoch": 0.83,
|
| 2635 |
+
"learning_rate": 1.4073826123206946e-06,
|
| 2636 |
+
"loss": 1.0506,
|
| 2637 |
+
"step": 438
|
| 2638 |
+
},
|
| 2639 |
+
{
|
| 2640 |
+
"epoch": 0.84,
|
| 2641 |
+
"learning_rate": 1.375974016865359e-06,
|
| 2642 |
+
"loss": 1.0625,
|
| 2643 |
+
"step": 439
|
| 2644 |
+
},
|
| 2645 |
+
{
|
| 2646 |
+
"epoch": 0.84,
|
| 2647 |
+
"learning_rate": 1.3448939497644508e-06,
|
| 2648 |
+
"loss": 0.9615,
|
| 2649 |
+
"step": 440
|
| 2650 |
+
},
|
| 2651 |
+
{
|
| 2652 |
+
"epoch": 0.84,
|
| 2653 |
+
"learning_rate": 1.3141435949990188e-06,
|
| 2654 |
+
"loss": 0.9799,
|
| 2655 |
+
"step": 441
|
| 2656 |
+
},
|
| 2657 |
+
{
|
| 2658 |
+
"epoch": 0.84,
|
| 2659 |
+
"learning_rate": 1.2837241239898669e-06,
|
| 2660 |
+
"loss": 1.0765,
|
| 2661 |
+
"step": 442
|
| 2662 |
+
},
|
| 2663 |
+
{
|
| 2664 |
+
"epoch": 0.84,
|
| 2665 |
+
"learning_rate": 1.253636695552931e-06,
|
| 2666 |
+
"loss": 1.0043,
|
| 2667 |
+
"step": 443
|
| 2668 |
+
},
|
| 2669 |
+
{
|
| 2670 |
+
"epoch": 0.85,
|
| 2671 |
+
"learning_rate": 1.2238824558551365e-06,
|
| 2672 |
+
"loss": 1.0117,
|
| 2673 |
+
"step": 444
|
| 2674 |
+
},
|
| 2675 |
+
{
|
| 2676 |
+
"epoch": 0.85,
|
| 2677 |
+
"learning_rate": 1.1944625383707377e-06,
|
| 2678 |
+
"loss": 0.8158,
|
| 2679 |
+
"step": 445
|
| 2680 |
+
},
|
| 2681 |
+
{
|
| 2682 |
+
"epoch": 0.85,
|
| 2683 |
+
"learning_rate": 1.165378063838133e-06,
|
| 2684 |
+
"loss": 0.9406,
|
| 2685 |
+
"step": 446
|
| 2686 |
+
},
|
| 2687 |
+
{
|
| 2688 |
+
"epoch": 0.85,
|
| 2689 |
+
"learning_rate": 1.1366301402171775e-06,
|
| 2690 |
+
"loss": 1.0382,
|
| 2691 |
+
"step": 447
|
| 2692 |
+
},
|
| 2693 |
+
{
|
| 2694 |
+
"epoch": 0.85,
|
| 2695 |
+
"learning_rate": 1.1082198626469687e-06,
|
| 2696 |
+
"loss": 0.9529,
|
| 2697 |
+
"step": 448
|
| 2698 |
+
},
|
| 2699 |
+
{
|
| 2700 |
+
"epoch": 0.86,
|
| 2701 |
+
"learning_rate": 1.080148313404127e-06,
|
| 2702 |
+
"loss": 0.9811,
|
| 2703 |
+
"step": 449
|
| 2704 |
+
},
|
| 2705 |
+
{
|
| 2706 |
+
"epoch": 0.86,
|
| 2707 |
+
"learning_rate": 1.0524165618615845e-06,
|
| 2708 |
+
"loss": 0.8795,
|
| 2709 |
+
"step": 450
|
| 2710 |
+
},
|
| 2711 |
+
{
|
| 2712 |
+
"epoch": 0.86,
|
| 2713 |
+
"learning_rate": 1.0250256644478196e-06,
|
| 2714 |
+
"loss": 0.9581,
|
| 2715 |
+
"step": 451
|
| 2716 |
+
},
|
| 2717 |
+
{
|
| 2718 |
+
"epoch": 0.86,
|
| 2719 |
+
"learning_rate": 9.979766646066368e-07,
|
| 2720 |
+
"loss": 0.9823,
|
| 2721 |
+
"step": 452
|
| 2722 |
+
},
|
| 2723 |
+
{
|
| 2724 |
+
"epoch": 0.86,
|
| 2725 |
+
"learning_rate": 9.71270592757404e-07,
|
| 2726 |
+
"loss": 0.9371,
|
| 2727 |
+
"step": 453
|
| 2728 |
+
},
|
| 2729 |
+
{
|
| 2730 |
+
"epoch": 0.86,
|
| 2731 |
+
"learning_rate": 9.449084662557984e-07,
|
| 2732 |
+
"loss": 0.9674,
|
| 2733 |
+
"step": 454
|
| 2734 |
+
},
|
| 2735 |
+
{
|
| 2736 |
+
"epoch": 0.87,
|
| 2737 |
+
"learning_rate": 9.188912893550694e-07,
|
| 2738 |
+
"loss": 0.9306,
|
| 2739 |
+
"step": 455
|
| 2740 |
+
},
|
| 2741 |
+
{
|
| 2742 |
+
"epoch": 0.87,
|
| 2743 |
+
"learning_rate": 8.932200531677537e-07,
|
| 2744 |
+
"loss": 1.1018,
|
| 2745 |
+
"step": 456
|
| 2746 |
+
},
|
| 2747 |
+
{
|
| 2748 |
+
"epoch": 0.87,
|
| 2749 |
+
"learning_rate": 8.678957356279372e-07,
|
| 2750 |
+
"loss": 0.8571,
|
| 2751 |
+
"step": 457
|
| 2752 |
+
},
|
| 2753 |
+
{
|
| 2754 |
+
"epoch": 0.87,
|
| 2755 |
+
"learning_rate": 8.429193014540015e-07,
|
| 2756 |
+
"loss": 1.0098,
|
| 2757 |
+
"step": 458
|
| 2758 |
+
},
|
| 2759 |
+
{
|
| 2760 |
+
"epoch": 0.87,
|
| 2761 |
+
"learning_rate": 8.182917021118664e-07,
|
| 2762 |
+
"loss": 0.8574,
|
| 2763 |
+
"step": 459
|
| 2764 |
+
},
|
| 2765 |
+
{
|
| 2766 |
+
"epoch": 0.88,
|
| 2767 |
+
"learning_rate": 7.940138757787507e-07,
|
| 2768 |
+
"loss": 1.0129,
|
| 2769 |
+
"step": 460
|
| 2770 |
+
},
|
| 2771 |
+
{
|
| 2772 |
+
"epoch": 0.88,
|
| 2773 |
+
"learning_rate": 7.700867473074225e-07,
|
| 2774 |
+
"loss": 1.109,
|
| 2775 |
+
"step": 461
|
| 2776 |
+
},
|
| 2777 |
+
{
|
| 2778 |
+
"epoch": 0.88,
|
| 2779 |
+
"learning_rate": 7.46511228190977e-07,
|
| 2780 |
+
"loss": 0.8979,
|
| 2781 |
+
"step": 462
|
| 2782 |
+
},
|
| 2783 |
+
{
|
| 2784 |
+
"epoch": 0.88,
|
| 2785 |
+
"learning_rate": 7.232882165281141e-07,
|
| 2786 |
+
"loss": 0.9884,
|
| 2787 |
+
"step": 463
|
| 2788 |
+
},
|
| 2789 |
+
{
|
| 2790 |
+
"epoch": 0.88,
|
| 2791 |
+
"learning_rate": 7.004185969889188e-07,
|
| 2792 |
+
"loss": 1.1263,
|
| 2793 |
+
"step": 464
|
| 2794 |
+
},
|
| 2795 |
+
{
|
| 2796 |
+
"epoch": 0.89,
|
| 2797 |
+
"learning_rate": 6.779032407811636e-07,
|
| 2798 |
+
"loss": 1.164,
|
| 2799 |
+
"step": 465
|
| 2800 |
+
},
|
| 2801 |
+
{
|
| 2802 |
+
"epoch": 0.89,
|
| 2803 |
+
"learning_rate": 6.557430056171221e-07,
|
| 2804 |
+
"loss": 0.8073,
|
| 2805 |
+
"step": 466
|
| 2806 |
+
},
|
| 2807 |
+
{
|
| 2808 |
+
"epoch": 0.89,
|
| 2809 |
+
"learning_rate": 6.339387356808912e-07,
|
| 2810 |
+
"loss": 1.0606,
|
| 2811 |
+
"step": 467
|
| 2812 |
+
},
|
| 2813 |
+
{
|
| 2814 |
+
"epoch": 0.89,
|
| 2815 |
+
"learning_rate": 6.124912615962341e-07,
|
| 2816 |
+
"loss": 1.0234,
|
| 2817 |
+
"step": 468
|
| 2818 |
+
},
|
| 2819 |
+
{
|
| 2820 |
+
"epoch": 0.89,
|
| 2821 |
+
"learning_rate": 5.914014003949408e-07,
|
| 2822 |
+
"loss": 1.0694,
|
| 2823 |
+
"step": 469
|
| 2824 |
+
},
|
| 2825 |
+
{
|
| 2826 |
+
"epoch": 0.9,
|
| 2827 |
+
"learning_rate": 5.706699554856965e-07,
|
| 2828 |
+
"loss": 1.0804,
|
| 2829 |
+
"step": 470
|
| 2830 |
+
},
|
| 2831 |
+
{
|
| 2832 |
+
"epoch": 0.9,
|
| 2833 |
+
"learning_rate": 5.502977166234857e-07,
|
| 2834 |
+
"loss": 0.9358,
|
| 2835 |
+
"step": 471
|
| 2836 |
+
},
|
| 2837 |
+
{
|
| 2838 |
+
"epoch": 0.9,
|
| 2839 |
+
"learning_rate": 5.302854598794938e-07,
|
| 2840 |
+
"loss": 1.0226,
|
| 2841 |
+
"step": 472
|
| 2842 |
+
},
|
| 2843 |
+
{
|
| 2844 |
+
"epoch": 0.9,
|
| 2845 |
+
"learning_rate": 5.106339476115596e-07,
|
| 2846 |
+
"loss": 1.0955,
|
| 2847 |
+
"step": 473
|
| 2848 |
+
},
|
| 2849 |
+
{
|
| 2850 |
+
"epoch": 0.9,
|
| 2851 |
+
"learning_rate": 4.913439284351207e-07,
|
| 2852 |
+
"loss": 0.9492,
|
| 2853 |
+
"step": 474
|
| 2854 |
+
},
|
| 2855 |
+
{
|
| 2856 |
+
"epoch": 0.9,
|
| 2857 |
+
"learning_rate": 4.7241613719469784e-07,
|
| 2858 |
+
"loss": 0.8924,
|
| 2859 |
+
"step": 475
|
| 2860 |
+
},
|
| 2861 |
+
{
|
| 2862 |
+
"epoch": 0.91,
|
| 2863 |
+
"learning_rate": 4.538512949359075e-07,
|
| 2864 |
+
"loss": 0.9072,
|
| 2865 |
+
"step": 476
|
| 2866 |
+
},
|
| 2867 |
+
{
|
| 2868 |
+
"epoch": 0.91,
|
| 2869 |
+
"learning_rate": 4.356501088779841e-07,
|
| 2870 |
+
"loss": 0.9692,
|
| 2871 |
+
"step": 477
|
| 2872 |
+
},
|
| 2873 |
+
{
|
| 2874 |
+
"epoch": 0.91,
|
| 2875 |
+
"learning_rate": 4.1781327238684775e-07,
|
| 2876 |
+
"loss": 0.9852,
|
| 2877 |
+
"step": 478
|
| 2878 |
+
},
|
| 2879 |
+
{
|
| 2880 |
+
"epoch": 0.91,
|
| 2881 |
+
"learning_rate": 4.003414649486892e-07,
|
| 2882 |
+
"loss": 0.8978,
|
| 2883 |
+
"step": 479
|
| 2884 |
+
},
|
| 2885 |
+
{
|
| 2886 |
+
"epoch": 0.91,
|
| 2887 |
+
"learning_rate": 3.832353521440768e-07,
|
| 2888 |
+
"loss": 0.9217,
|
| 2889 |
+
"step": 480
|
| 2890 |
+
},
|
| 2891 |
+
{
|
| 2892 |
+
"epoch": 0.92,
|
| 2893 |
+
"learning_rate": 3.6649558562261377e-07,
|
| 2894 |
+
"loss": 1.0179,
|
| 2895 |
+
"step": 481
|
| 2896 |
+
},
|
| 2897 |
+
{
|
| 2898 |
+
"epoch": 0.92,
|
| 2899 |
+
"learning_rate": 3.5012280307810344e-07,
|
| 2900 |
+
"loss": 0.8973,
|
| 2901 |
+
"step": 482
|
| 2902 |
+
},
|
| 2903 |
+
{
|
| 2904 |
+
"epoch": 0.92,
|
| 2905 |
+
"learning_rate": 3.341176282242653e-07,
|
| 2906 |
+
"loss": 0.9245,
|
| 2907 |
+
"step": 483
|
| 2908 |
+
},
|
| 2909 |
+
{
|
| 2910 |
+
"epoch": 0.92,
|
| 2911 |
+
"learning_rate": 3.184806707709698e-07,
|
| 2912 |
+
"loss": 0.8216,
|
| 2913 |
+
"step": 484
|
| 2914 |
+
},
|
| 2915 |
+
{
|
| 2916 |
+
"epoch": 0.92,
|
| 2917 |
+
"learning_rate": 3.0321252640100883e-07,
|
| 2918 |
+
"loss": 1.0511,
|
| 2919 |
+
"step": 485
|
| 2920 |
+
},
|
| 2921 |
+
{
|
| 2922 |
+
"epoch": 0.93,
|
| 2923 |
+
"learning_rate": 2.8831377674741203e-07,
|
| 2924 |
+
"loss": 0.9983,
|
| 2925 |
+
"step": 486
|
| 2926 |
+
},
|
| 2927 |
+
{
|
| 2928 |
+
"epoch": 0.93,
|
| 2929 |
+
"learning_rate": 2.737849893712841e-07,
|
| 2930 |
+
"loss": 0.945,
|
| 2931 |
+
"step": 487
|
| 2932 |
+
},
|
| 2933 |
+
{
|
| 2934 |
+
"epoch": 0.93,
|
| 2935 |
+
"learning_rate": 2.5962671774018234e-07,
|
| 2936 |
+
"loss": 1.023,
|
| 2937 |
+
"step": 488
|
| 2938 |
+
},
|
| 2939 |
+
{
|
| 2940 |
+
"epoch": 0.93,
|
| 2941 |
+
"learning_rate": 2.458395012070369e-07,
|
| 2942 |
+
"loss": 1.0748,
|
| 2943 |
+
"step": 489
|
| 2944 |
+
},
|
| 2945 |
+
{
|
| 2946 |
+
"epoch": 0.93,
|
| 2947 |
+
"learning_rate": 2.3242386498960267e-07,
|
| 2948 |
+
"loss": 0.9754,
|
| 2949 |
+
"step": 490
|
| 2950 |
+
},
|
| 2951 |
+
{
|
| 2952 |
+
"epoch": 0.94,
|
| 2953 |
+
"learning_rate": 2.1938032015044964e-07,
|
| 2954 |
+
"loss": 0.9531,
|
| 2955 |
+
"step": 491
|
| 2956 |
+
},
|
| 2957 |
+
{
|
| 2958 |
+
"epoch": 0.94,
|
| 2959 |
+
"learning_rate": 2.067093635774975e-07,
|
| 2960 |
+
"loss": 0.9747,
|
| 2961 |
+
"step": 492
|
| 2962 |
+
},
|
| 2963 |
+
{
|
| 2964 |
+
"epoch": 0.94,
|
| 2965 |
+
"learning_rate": 1.9441147796508408e-07,
|
| 2966 |
+
"loss": 1.0484,
|
| 2967 |
+
"step": 493
|
| 2968 |
+
},
|
| 2969 |
+
{
|
| 2970 |
+
"epoch": 0.94,
|
| 2971 |
+
"learning_rate": 1.8248713179557788e-07,
|
| 2972 |
+
"loss": 0.9075,
|
| 2973 |
+
"step": 494
|
| 2974 |
+
},
|
| 2975 |
+
{
|
| 2976 |
+
"epoch": 0.94,
|
| 2977 |
+
"learning_rate": 1.7093677932153218e-07,
|
| 2978 |
+
"loss": 1.0215,
|
| 2979 |
+
"step": 495
|
| 2980 |
+
},
|
| 2981 |
+
{
|
| 2982 |
+
"epoch": 0.94,
|
| 2983 |
+
"learning_rate": 1.5976086054838024e-07,
|
| 2984 |
+
"loss": 0.9313,
|
| 2985 |
+
"step": 496
|
| 2986 |
+
},
|
| 2987 |
+
{
|
| 2988 |
+
"epoch": 0.95,
|
| 2989 |
+
"learning_rate": 1.4895980121767627e-07,
|
| 2990 |
+
"loss": 0.9872,
|
| 2991 |
+
"step": 497
|
| 2992 |
+
},
|
| 2993 |
+
{
|
| 2994 |
+
"epoch": 0.95,
|
| 2995 |
+
"learning_rate": 1.3853401279086853e-07,
|
| 2996 |
+
"loss": 1.0439,
|
| 2997 |
+
"step": 498
|
| 2998 |
+
},
|
| 2999 |
+
{
|
| 3000 |
+
"epoch": 0.95,
|
| 3001 |
+
"learning_rate": 1.2848389243363514e-07,
|
| 3002 |
+
"loss": 0.8577,
|
| 3003 |
+
"step": 499
|
| 3004 |
+
},
|
| 3005 |
+
{
|
| 3006 |
+
"epoch": 0.95,
|
| 3007 |
+
"learning_rate": 1.1880982300074839e-07,
|
| 3008 |
+
"loss": 1.0613,
|
| 3009 |
+
"step": 500
|
| 3010 |
+
},
|
| 3011 |
+
{
|
| 3012 |
+
"epoch": 0.95,
|
| 3013 |
+
"learning_rate": 1.0951217302148986e-07,
|
| 3014 |
+
"loss": 1.048,
|
| 3015 |
+
"step": 501
|
| 3016 |
+
},
|
| 3017 |
+
{
|
| 3018 |
+
"epoch": 0.96,
|
| 3019 |
+
"learning_rate": 1.0059129668561707e-07,
|
| 3020 |
+
"loss": 0.9441,
|
| 3021 |
+
"step": 502
|
| 3022 |
+
},
|
| 3023 |
+
{
|
| 3024 |
+
"epoch": 0.96,
|
| 3025 |
+
"learning_rate": 9.204753382986097e-08,
|
| 3026 |
+
"loss": 0.9795,
|
| 3027 |
+
"step": 503
|
| 3028 |
+
},
|
| 3029 |
+
{
|
| 3030 |
+
"epoch": 0.96,
|
| 3031 |
+
"learning_rate": 8.388120992499083e-08,
|
| 3032 |
+
"loss": 1.0613,
|
| 3033 |
+
"step": 504
|
| 3034 |
+
},
|
| 3035 |
+
{
|
| 3036 |
+
"epoch": 0.96,
|
| 3037 |
+
"learning_rate": 7.609263606340622e-08,
|
| 3038 |
+
"loss": 0.8849,
|
| 3039 |
+
"step": 505
|
| 3040 |
+
},
|
| 3041 |
+
{
|
| 3042 |
+
"epoch": 0.96,
|
| 3043 |
+
"learning_rate": 6.868210894729333e-08,
|
| 3044 |
+
"loss": 0.9591,
|
| 3045 |
+
"step": 506
|
| 3046 |
+
},
|
| 3047 |
+
{
|
| 3048 |
+
"epoch": 0.97,
|
| 3049 |
+
"learning_rate": 6.164991087731831e-08,
|
| 3050 |
+
"loss": 0.898,
|
| 3051 |
+
"step": 507
|
| 3052 |
+
},
|
| 3053 |
+
{
|
| 3054 |
+
"epoch": 0.97,
|
| 3055 |
+
"learning_rate": 5.4996309741873755e-08,
|
| 3056 |
+
"loss": 0.8596,
|
| 3057 |
+
"step": 508
|
| 3058 |
+
},
|
| 3059 |
+
{
|
| 3060 |
+
"epoch": 0.97,
|
| 3061 |
+
"learning_rate": 4.8721559006873473e-08,
|
| 3062 |
+
"loss": 1.0341,
|
| 3063 |
+
"step": 509
|
| 3064 |
+
},
|
| 3065 |
+
{
|
| 3066 |
+
"epoch": 0.97,
|
| 3067 |
+
"learning_rate": 4.2825897706100237e-08,
|
| 3068 |
+
"loss": 1.0509,
|
| 3069 |
+
"step": 510
|
| 3070 |
+
},
|
| 3071 |
+
{
|
| 3072 |
+
"epoch": 0.97,
|
| 3073 |
+
"learning_rate": 3.730955043209083e-08,
|
| 3074 |
+
"loss": 1.0373,
|
| 3075 |
+
"step": 511
|
| 3076 |
+
},
|
| 3077 |
+
{
|
| 3078 |
+
"epoch": 0.98,
|
| 3079 |
+
"learning_rate": 3.2172727327594024e-08,
|
| 3080 |
+
"loss": 1.1891,
|
| 3081 |
+
"step": 512
|
| 3082 |
+
},
|
| 3083 |
+
{
|
| 3084 |
+
"epoch": 0.98,
|
| 3085 |
+
"learning_rate": 2.7415624077551383e-08,
|
| 3086 |
+
"loss": 0.9783,
|
| 3087 |
+
"step": 513
|
| 3088 |
+
},
|
| 3089 |
+
{
|
| 3090 |
+
"epoch": 0.98,
|
| 3091 |
+
"learning_rate": 2.3038421901651064e-08,
|
| 3092 |
+
"loss": 0.9968,
|
| 3093 |
+
"step": 514
|
| 3094 |
+
},
|
| 3095 |
+
{
|
| 3096 |
+
"epoch": 0.98,
|
| 3097 |
+
"learning_rate": 1.9041287547424404e-08,
|
| 3098 |
+
"loss": 0.7965,
|
| 3099 |
+
"step": 515
|
| 3100 |
+
},
|
| 3101 |
+
{
|
| 3102 |
+
"epoch": 0.98,
|
| 3103 |
+
"learning_rate": 1.5424373283889904e-08,
|
| 3104 |
+
"loss": 0.9412,
|
| 3105 |
+
"step": 516
|
| 3106 |
+
},
|
| 3107 |
+
{
|
| 3108 |
+
"epoch": 0.98,
|
| 3109 |
+
"learning_rate": 1.2187816895752324e-08,
|
| 3110 |
+
"loss": 1.0623,
|
| 3111 |
+
"step": 517
|
| 3112 |
+
},
|
| 3113 |
+
{
|
| 3114 |
+
"epoch": 0.99,
|
| 3115 |
+
"learning_rate": 9.3317416781602e-09,
|
| 3116 |
+
"loss": 1.092,
|
| 3117 |
+
"step": 518
|
| 3118 |
+
},
|
| 3119 |
+
{
|
| 3120 |
+
"epoch": 0.99,
|
| 3121 |
+
"learning_rate": 6.856256432000719e-09,
|
| 3122 |
+
"loss": 1.0168,
|
| 3123 |
+
"step": 519
|
| 3124 |
+
},
|
| 3125 |
+
{
|
| 3126 |
+
"epoch": 0.99,
|
| 3127 |
+
"learning_rate": 4.761455459760811e-09,
|
| 3128 |
+
"loss": 0.9015,
|
| 3129 |
+
"step": 520
|
| 3130 |
+
},
|
| 3131 |
+
{
|
| 3132 |
+
"epoch": 0.99,
|
| 3133 |
+
"learning_rate": 3.0474185619333573e-09,
|
| 3134 |
+
"loss": 0.891,
|
| 3135 |
+
"step": 521
|
| 3136 |
+
},
|
| 3137 |
+
{
|
| 3138 |
+
"epoch": 0.99,
|
| 3139 |
+
"learning_rate": 1.7142110339740669e-09,
|
| 3140 |
+
"loss": 1.0192,
|
| 3141 |
+
"step": 522
|
| 3142 |
+
},
|
| 3143 |
+
{
|
| 3144 |
+
"epoch": 1.0,
|
| 3145 |
+
"learning_rate": 7.618836638190186e-10,
|
| 3146 |
+
"loss": 0.9934,
|
| 3147 |
+
"step": 523
|
| 3148 |
+
},
|
| 3149 |
+
{
|
| 3150 |
+
"epoch": 1.0,
|
| 3151 |
+
"learning_rate": 1.904727299473219e-10,
|
| 3152 |
+
"loss": 0.9555,
|
| 3153 |
+
"step": 524
|
| 3154 |
+
},
|
| 3155 |
+
{
|
| 3156 |
+
"epoch": 1.0,
|
| 3157 |
+
"learning_rate": 0.0,
|
| 3158 |
+
"loss": 1.0071,
|
| 3159 |
+
"step": 525
|
| 3160 |
+
},
|
| 3161 |
+
{
|
| 3162 |
+
"epoch": 1.0,
|
| 3163 |
+
"step": 525,
|
| 3164 |
+
"total_flos": 408411124531200.0,
|
| 3165 |
+
"train_loss": 1.008456783521743,
|
| 3166 |
+
"train_runtime": 75047.9043,
|
| 3167 |
+
"train_samples_per_second": 0.336,
|
| 3168 |
+
"train_steps_per_second": 0.007
|
| 3169 |
+
}
|
| 3170 |
+
],
|
| 3171 |
+
"logging_steps": 1.0,
|
| 3172 |
+
"max_steps": 525,
|
| 3173 |
+
"num_train_epochs": 1,
|
| 3174 |
+
"save_steps": 400,
|
| 3175 |
+
"total_flos": 408411124531200.0,
|
| 3176 |
+
"trial_name": null,
|
| 3177 |
+
"trial_params": null
|
| 3178 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:13a8863c39c2acf6593998cb3e18152c9a1405c0379daeefefed8074235e9fa0
|
| 3 |
+
size 6648
|