minhhien0811
commited on
Commit
•
d878be5
1
Parent(s):
8f3c7f0
Add fine-tuned model
Browse files- README.md +78 -0
- all_results.json +12 -0
- config.json +29 -0
- eval_results.json +7 -0
- generation_config.json +6 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +298 -0
- special_tokens_map.json +17 -0
- tokenizer.json +0 -0
- tokenizer_config.json +2065 -0
- train_results.json +8 -0
- trainer_log.jsonl +153 -0
- trainer_state.json +1119 -0
- training_args.bin +3 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
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---
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license: other
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base_model: rinna/llama-3-youko-8b
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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model-index:
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- name: sft
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# sft
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This model is a fine-tuned version of [rinna/llama-3-youko-8b](https://huggingface.co/rinna/llama-3-youko-8b) on the data_bricks, the kunishou, the ichikara-004-multi, the ichikara-004-single, the apto_instruct, the apto_dialogue, the oasst_ja and the megagon datasets.
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It achieves the following results on the evaluation set:
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- Loss: 1.0135
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 8
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- eval_batch_size: 16
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 128
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- total_eval_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 0.1
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- num_epochs: 2.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.9155 | 0.1433 | 100 | 1.8934 |
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| 1.7826 | 0.2865 | 200 | 1.7808 |
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| 1.6897 | 0.4298 | 300 | 1.6719 |
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| 1.5887 | 0.5731 | 400 | 1.5738 |
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| 1.4628 | 0.7163 | 500 | 1.4660 |
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| 1.3751 | 0.8596 | 600 | 1.3671 |
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| 1.1263 | 1.0029 | 700 | 1.2831 |
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| 0.688 | 1.1461 | 800 | 1.2492 |
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| 0.6544 | 1.2894 | 900 | 1.1818 |
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| 0.6017 | 1.4327 | 1000 | 1.1207 |
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| 0.5763 | 1.5759 | 1100 | 1.0708 |
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| 0.5599 | 1.7192 | 1200 | 1.0365 |
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| 0.5101 | 1.8625 | 1300 | 1.0170 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 2.0,
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"eval_loss": 1.013519048690796,
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"eval_runtime": 53.2963,
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"eval_samples_per_second": 186.204,
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"eval_steps_per_second": 1.464,
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"total_flos": 192624989306880.0,
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"train_loss": 1.1565231682577926,
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"train_runtime": 4692.4705,
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"train_samples_per_second": 38.067,
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"train_steps_per_second": 0.297
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}
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config.json
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{
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"_name_or_path": "rinna/llama-3-youko-8b",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"eos_token_id": 128001,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 8192,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 500000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.41.2",
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"use_cache": false,
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"vocab_size": 128256
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}
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eval_results.json
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{
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"epoch": 2.0,
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"eval_loss": 1.013519048690796,
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"eval_runtime": 53.2963,
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"eval_samples_per_second": 186.204,
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"eval_steps_per_second": 1.464
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}
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generation_config.json
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"transformers_version": "4.41.2"
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}
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model-00001-of-00004.safetensors
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size 4976698592
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model-00002-of-00004.safetensors
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model-00003-of-00004.safetensors
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model.safetensors.index.json
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special_tokens_map.json
ADDED
@@ -0,0 +1,17 @@
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tokenizer.json
ADDED
The diff for this file is too large to render.
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tokenizer_config.json
ADDED
@@ -0,0 +1,2065 @@
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|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"128000": {
|
4 |
+
"content": "<|begin_of_text|>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"128001": {
|
12 |
+
"content": "<|end_of_text|>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
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|
2012 |
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|
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|
2016 |
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|
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|
2018 |
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},
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|
2020 |
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|
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|
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|
2041 |
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},
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|
2044 |
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2045 |
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|
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|
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|
2048 |
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|
2049 |
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"special": true
|
2050 |
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}
|
2051 |
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},
|
2052 |
+
"bos_token": "<|begin_of_text|>",
|
2053 |
+
"chat_template": "{% set system_message = 'You are a helpful assistant.' %}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ '<|begin_of_text|>' + '<|start_header_id|>system<|end_header_id|>\n\n' + system_message + '<|end_of_text|>' }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|start_header_id|>user<|end_header_id|>\n\n' + content + '<|end_of_text|><|start_header_id|>assistant<|end_header_id|>\n\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<|end_of_text|>' }}{% endif %}{% endfor %}",
|
2054 |
+
"clean_up_tokenization_spaces": true,
|
2055 |
+
"eos_token": "<|end_of_text|>",
|
2056 |
+
"model_input_names": [
|
2057 |
+
"input_ids",
|
2058 |
+
"attention_mask"
|
2059 |
+
],
|
2060 |
+
"model_max_length": 1000000000000000019884624838656,
|
2061 |
+
"pad_token": "<|end_of_text|>",
|
2062 |
+
"padding_side": "right",
|
2063 |
+
"split_special_tokens": false,
|
2064 |
+
"tokenizer_class": "PreTrainedTokenizerFast"
|
2065 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
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+
{
|
2 |
+
"epoch": 2.0,
|
3 |
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"total_flos": 192624989306880.0,
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4 |
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"train_loss": 1.1565231682577926,
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5 |
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"train_runtime": 4692.4705,
|
6 |
+
"train_samples_per_second": 38.067,
|
7 |
+
"train_steps_per_second": 0.297
|
8 |
+
}
|
trainer_log.jsonl
ADDED
@@ -0,0 +1,153 @@
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|
1 |
+
{"current_steps": 10, "total_steps": 1396, "loss": 3.6922, "learning_rate": 9.9998935058887e-05, "epoch": 0.014326647564469915, "percentage": 0.72, "elapsed_time": "0:00:37", "remaining_time": "1:26:23"}
|
2 |
+
{"current_steps": 20, "total_steps": 1396, "loss": 5.6597, "learning_rate": 9.99820692232566e-05, "epoch": 0.02865329512893983, "percentage": 1.43, "elapsed_time": "0:01:04", "remaining_time": "1:14:14"}
|
3 |
+
{"current_steps": 30, "total_steps": 1396, "loss": 2.5057, "learning_rate": 9.993928004395286e-05, "epoch": 0.04297994269340974, "percentage": 2.15, "elapsed_time": "0:01:33", "remaining_time": "1:10:38"}
|
4 |
+
{"current_steps": 40, "total_steps": 1396, "loss": 1.984, "learning_rate": 9.987119700662767e-05, "epoch": 0.05730659025787966, "percentage": 2.87, "elapsed_time": "0:02:01", "remaining_time": "1:08:26"}
|
5 |
+
{"current_steps": 50, "total_steps": 1396, "loss": 1.9796, "learning_rate": 9.977785459481133e-05, "epoch": 0.07163323782234957, "percentage": 3.58, "elapsed_time": "0:02:28", "remaining_time": "1:06:50"}
|
6 |
+
{"current_steps": 60, "total_steps": 1396, "loss": 1.9357, "learning_rate": 9.965930008571152e-05, "epoch": 0.08595988538681948, "percentage": 4.3, "elapsed_time": "0:02:57", "remaining_time": "1:05:41"}
|
7 |
+
{"current_steps": 70, "total_steps": 1396, "loss": 1.9499, "learning_rate": 9.951559352626757e-05, "epoch": 0.10028653295128939, "percentage": 5.01, "elapsed_time": "0:03:25", "remaining_time": "1:04:57"}
|
8 |
+
{"current_steps": 80, "total_steps": 1396, "loss": 1.9316, "learning_rate": 9.934680770273733e-05, "epoch": 0.11461318051575932, "percentage": 5.73, "elapsed_time": "0:03:54", "remaining_time": "1:04:13"}
|
9 |
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{"current_steps": 90, "total_steps": 1396, "loss": 1.9162, "learning_rate": 9.915302810383132e-05, "epoch": 0.12893982808022922, "percentage": 6.45, "elapsed_time": "0:04:22", "remaining_time": "1:03:28"}
|
10 |
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{"current_steps": 100, "total_steps": 1396, "loss": 1.9155, "learning_rate": 9.893435287741343e-05, "epoch": 0.14326647564469913, "percentage": 7.16, "elapsed_time": "0:04:50", "remaining_time": "1:02:42"}
|
11 |
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trainer_state.json
ADDED
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