417
Browse files- config.json +29 -0
- generation_config.json +6 -0
- model-00001-of-00006.safetensors +3 -0
- model-00002-of-00006.safetensors +3 -0
- model-00003-of-00006.safetensors +3 -0
- model-00004-of-00006.safetensors +3 -0
- model-00005-of-00006.safetensors +3 -0
- model-00006-of-00006.safetensors +3 -0
- model.safetensors.index.json +280 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer_config.json +42 -0
- trainer_state.json +660 -0
- training_args.bin +3 -0
config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "/lustre/fast/fast/wliu/longhui/ckpt/deepseek-math-7b-rl",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"LlamaForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_bias": false,
|
| 7 |
+
"attention_dropout": 0.0,
|
| 8 |
+
"bos_token_id": 100000,
|
| 9 |
+
"eos_token_id": 100001,
|
| 10 |
+
"hidden_act": "silu",
|
| 11 |
+
"hidden_size": 4096,
|
| 12 |
+
"initializer_range": 0.02,
|
| 13 |
+
"intermediate_size": 11008,
|
| 14 |
+
"max_position_embeddings": 4096,
|
| 15 |
+
"model_type": "llama",
|
| 16 |
+
"moe_intermediate_size": 11008,
|
| 17 |
+
"num_attention_heads": 32,
|
| 18 |
+
"num_hidden_layers": 30,
|
| 19 |
+
"num_key_value_heads": 32,
|
| 20 |
+
"pretraining_tp": 1,
|
| 21 |
+
"rms_norm_eps": 1e-06,
|
| 22 |
+
"rope_scaling": null,
|
| 23 |
+
"rope_theta": 10000,
|
| 24 |
+
"tie_word_embeddings": false,
|
| 25 |
+
"torch_dtype": "float32",
|
| 26 |
+
"transformers_version": "4.39.3",
|
| 27 |
+
"use_cache": true,
|
| 28 |
+
"vocab_size": 100003
|
| 29 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 100000,
|
| 4 |
+
"eos_token_id": 100001,
|
| 5 |
+
"transformers_version": "4.39.3"
|
| 6 |
+
}
|
model-00001-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7fb6c7c2dd374fe480a4d305f716b1c5d4c61d5c20d1a2a57f86cfd695d8e8ef
|
| 3 |
+
size 4943696160
|
model-00002-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:53816e76c3022434d3b16b7b501ca8a2ec49fa2a618e336602ff0da7c172d809
|
| 3 |
+
size 4991424808
|
model-00003-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f3e8b46c886fa5c8ae34bca69f60515e601608bcf1c67ce4eb88d5195b051222
|
| 3 |
+
size 4924315880
|
model-00004-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4e01c3424fa9e0046121f565697e1edecb6ec5945650225a5e7ef394b4d1d092
|
| 3 |
+
size 4857206904
|
model-00005-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b5f14150ec0bd2daeb57d6925425e78d2543688d31310f40be1ecce6a045554b
|
| 3 |
+
size 4857206904
|
model-00006-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d9960b398ca7b53998f6b202481d30c0999316b2cb5f189a87179412178e215e
|
| 3 |
+
size 2989098792
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,280 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 27562917888
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
+
"lm_head.weight": "model-00006-of-00006.safetensors",
|
| 7 |
+
"model.embed_tokens.weight": "model-00001-of-00006.safetensors",
|
| 8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 15 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 16 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 17 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 18 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 19 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 20 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 21 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 22 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 23 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 24 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 25 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 26 |
+
"model.layers.10.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 27 |
+
"model.layers.10.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
| 28 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
| 29 |
+
"model.layers.10.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
| 30 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 31 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 32 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 33 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 34 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 35 |
+
"model.layers.11.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 36 |
+
"model.layers.11.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
| 37 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
| 38 |
+
"model.layers.11.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
| 39 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 40 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
| 41 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 42 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
| 43 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
| 44 |
+
"model.layers.12.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 45 |
+
"model.layers.12.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
| 46 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
| 47 |
+
"model.layers.12.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
| 48 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 49 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
| 50 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 51 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
| 52 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
| 53 |
+
"model.layers.13.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 54 |
+
"model.layers.13.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
| 55 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
| 56 |
+
"model.layers.13.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
| 57 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 58 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
| 59 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 60 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
| 61 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
| 62 |
+
"model.layers.14.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 63 |
+
"model.layers.14.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
| 64 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
| 65 |
+
"model.layers.14.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
| 66 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 67 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
| 68 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 69 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
| 70 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
| 71 |
+
"model.layers.15.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 72 |
+
"model.layers.15.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
| 73 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
| 74 |
+
"model.layers.15.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
| 75 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 76 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
| 77 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 78 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
| 79 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
| 80 |
+
"model.layers.16.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 81 |
+
"model.layers.16.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
| 82 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
| 83 |
+
"model.layers.16.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
| 84 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 85 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
| 86 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 87 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
| 88 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
| 89 |
+
"model.layers.17.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 90 |
+
"model.layers.17.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
| 91 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
| 92 |
+
"model.layers.17.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
| 93 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 94 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
| 95 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
| 96 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
| 97 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
| 98 |
+
"model.layers.18.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 99 |
+
"model.layers.18.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
| 100 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
| 101 |
+
"model.layers.18.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
| 102 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 103 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
| 104 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
| 105 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
| 106 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
| 107 |
+
"model.layers.19.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 108 |
+
"model.layers.19.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
| 109 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
| 110 |
+
"model.layers.19.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
| 111 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 112 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
| 113 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
| 114 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
| 115 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
| 116 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 117 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 118 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 119 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 120 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 121 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 122 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 123 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 124 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 125 |
+
"model.layers.20.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 126 |
+
"model.layers.20.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
| 127 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
| 128 |
+
"model.layers.20.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
| 129 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 130 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
| 131 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
| 132 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
| 133 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
| 134 |
+
"model.layers.21.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 135 |
+
"model.layers.21.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
| 136 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
| 137 |
+
"model.layers.21.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
| 138 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 139 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
| 140 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
| 141 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
| 142 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
| 143 |
+
"model.layers.22.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 144 |
+
"model.layers.22.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
| 145 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
| 146 |
+
"model.layers.22.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
| 147 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 148 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
| 149 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
| 150 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
| 151 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
| 152 |
+
"model.layers.23.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 153 |
+
"model.layers.23.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
| 154 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
| 155 |
+
"model.layers.23.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
| 156 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 157 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
| 158 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
| 159 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
| 160 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
| 161 |
+
"model.layers.24.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 162 |
+
"model.layers.24.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
| 163 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
| 164 |
+
"model.layers.24.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
| 165 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 166 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
| 167 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
| 168 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
| 169 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
| 170 |
+
"model.layers.25.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 171 |
+
"model.layers.25.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
| 172 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
| 173 |
+
"model.layers.25.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
| 174 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 175 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
| 176 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
| 177 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
| 178 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
| 179 |
+
"model.layers.26.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 180 |
+
"model.layers.26.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
| 181 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
| 182 |
+
"model.layers.26.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
| 183 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 184 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
| 185 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
| 186 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
| 187 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
| 188 |
+
"model.layers.27.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 189 |
+
"model.layers.27.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
| 190 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
| 191 |
+
"model.layers.27.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
| 192 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 193 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
| 194 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
| 195 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
| 196 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
| 197 |
+
"model.layers.28.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 198 |
+
"model.layers.28.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
| 199 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
| 200 |
+
"model.layers.28.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
| 201 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 202 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
| 203 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
| 204 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
| 205 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
| 206 |
+
"model.layers.29.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 207 |
+
"model.layers.29.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
| 208 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
| 209 |
+
"model.layers.29.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
| 210 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 211 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
| 212 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
| 213 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
| 214 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
| 215 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 216 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 217 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 218 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 219 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 220 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 221 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 222 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 223 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 224 |
+
"model.layers.4.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 225 |
+
"model.layers.4.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 226 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 227 |
+
"model.layers.4.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 228 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 229 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 230 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 231 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 232 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 233 |
+
"model.layers.5.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 234 |
+
"model.layers.5.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 235 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 236 |
+
"model.layers.5.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 237 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 238 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 239 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 240 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 241 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 242 |
+
"model.layers.6.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 243 |
+
"model.layers.6.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 244 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 245 |
+
"model.layers.6.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 246 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 247 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 248 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 249 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 250 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 251 |
+
"model.layers.7.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 252 |
+
"model.layers.7.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 253 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 254 |
+
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 255 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 256 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 257 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 258 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 259 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 260 |
+
"model.layers.8.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 261 |
+
"model.layers.8.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 262 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 263 |
+
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 264 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 265 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 266 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 267 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 268 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 269 |
+
"model.layers.9.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 270 |
+
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 271 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 272 |
+
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 273 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 274 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 275 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 276 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 277 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 278 |
+
"model.norm.weight": "model-00006-of-00006.safetensors"
|
| 279 |
+
}
|
| 280 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<|begin▁of▁sentence|>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": true,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|end▁of▁sentence|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": true,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "[PAD]",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
}
|
| 23 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"100000": {
|
| 6 |
+
"content": "<|begin▁of▁sentence|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": true,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"100001": {
|
| 14 |
+
"content": "<|end▁of▁sentence|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": true,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"100002": {
|
| 22 |
+
"content": "[PAD]",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
}
|
| 29 |
+
},
|
| 30 |
+
"bos_token": "<|begin▁of▁sentence|>",
|
| 31 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{{ bos_token }}{% for message in messages %}{% if message['role'] == 'user' %}{{ 'User: ' + message['content'] + '\n\n' }}{% elif message['role'] == 'assistant' %}{{ 'Assistant: ' + message['content'] + eos_token }}{% elif message['role'] == 'system' %}{{ message['content'] + '\n\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ 'Assistant:' }}{% endif %}",
|
| 32 |
+
"clean_up_tokenization_spaces": false,
|
| 33 |
+
"eos_token": "<|end▁of▁sentence|>",
|
| 34 |
+
"legacy": true,
|
| 35 |
+
"model_max_length": 512,
|
| 36 |
+
"pad_token": "[PAD]",
|
| 37 |
+
"padding_side": "right",
|
| 38 |
+
"sp_model_kwargs": {},
|
| 39 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 40 |
+
"unk_token": null,
|
| 41 |
+
"use_default_system_prompt": false
|
| 42 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,660 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 2.926829268292683,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 90,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.03,
|
| 13 |
+
"grad_norm": 8.280744552612305,
|
| 14 |
+
"learning_rate": 6.666666666666667e-06,
|
| 15 |
+
"loss": 1.565,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.07,
|
| 20 |
+
"grad_norm": 8.70754337310791,
|
| 21 |
+
"learning_rate": 1.3333333333333333e-05,
|
| 22 |
+
"loss": 1.6161,
|
| 23 |
+
"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.1,
|
| 27 |
+
"grad_norm": 8.472146987915039,
|
| 28 |
+
"learning_rate": 2e-05,
|
| 29 |
+
"loss": 1.5893,
|
| 30 |
+
"step": 3
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.13,
|
| 34 |
+
"grad_norm": 5.23038911819458,
|
| 35 |
+
"learning_rate": 1.999348095389677e-05,
|
| 36 |
+
"loss": 1.3983,
|
| 37 |
+
"step": 4
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.16,
|
| 41 |
+
"grad_norm": 2.8397700786590576,
|
| 42 |
+
"learning_rate": 1.9973932315179502e-05,
|
| 43 |
+
"loss": 1.2206,
|
| 44 |
+
"step": 5
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.2,
|
| 48 |
+
"grad_norm": 2.181596040725708,
|
| 49 |
+
"learning_rate": 1.9941379571543597e-05,
|
| 50 |
+
"loss": 1.1032,
|
| 51 |
+
"step": 6
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.23,
|
| 55 |
+
"grad_norm": 1.1165341138839722,
|
| 56 |
+
"learning_rate": 1.9895865165556375e-05,
|
| 57 |
+
"loss": 1.065,
|
| 58 |
+
"step": 7
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.26,
|
| 62 |
+
"grad_norm": 0.8952399492263794,
|
| 63 |
+
"learning_rate": 1.9837448439320027e-05,
|
| 64 |
+
"loss": 1.035,
|
| 65 |
+
"step": 8
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.29,
|
| 69 |
+
"grad_norm": 0.7685825824737549,
|
| 70 |
+
"learning_rate": 1.976620555710087e-05,
|
| 71 |
+
"loss": 0.9635,
|
| 72 |
+
"step": 9
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.33,
|
| 76 |
+
"grad_norm": 0.7761624455451965,
|
| 77 |
+
"learning_rate": 1.9682229406025635e-05,
|
| 78 |
+
"loss": 0.9618,
|
| 79 |
+
"step": 10
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.36,
|
| 83 |
+
"grad_norm": 0.7371810078620911,
|
| 84 |
+
"learning_rate": 1.9585629474974413e-05,
|
| 85 |
+
"loss": 0.9613,
|
| 86 |
+
"step": 11
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.39,
|
| 90 |
+
"grad_norm": 0.6214499473571777,
|
| 91 |
+
"learning_rate": 1.9476531711828027e-05,
|
| 92 |
+
"loss": 0.9501,
|
| 93 |
+
"step": 12
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.42,
|
| 97 |
+
"grad_norm": 0.5390974879264832,
|
| 98 |
+
"learning_rate": 1.935507835925601e-05,
|
| 99 |
+
"loss": 0.964,
|
| 100 |
+
"step": 13
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.46,
|
| 104 |
+
"grad_norm": 0.5018035769462585,
|
| 105 |
+
"learning_rate": 1.9221427769259333e-05,
|
| 106 |
+
"loss": 0.9304,
|
| 107 |
+
"step": 14
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.49,
|
| 111 |
+
"grad_norm": 0.526158332824707,
|
| 112 |
+
"learning_rate": 1.9075754196709574e-05,
|
| 113 |
+
"loss": 0.9554,
|
| 114 |
+
"step": 15
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.52,
|
| 118 |
+
"grad_norm": 0.5072513222694397,
|
| 119 |
+
"learning_rate": 1.8918247572153822e-05,
|
| 120 |
+
"loss": 0.9078,
|
| 121 |
+
"step": 16
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.55,
|
| 125 |
+
"grad_norm": 0.4988534450531006,
|
| 126 |
+
"learning_rate": 1.8749113254181498e-05,
|
| 127 |
+
"loss": 0.9291,
|
| 128 |
+
"step": 17
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.59,
|
| 132 |
+
"grad_norm": 0.4912777841091156,
|
| 133 |
+
"learning_rate": 1.8568571761675893e-05,
|
| 134 |
+
"loss": 0.9626,
|
| 135 |
+
"step": 18
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.62,
|
| 139 |
+
"grad_norm": 0.5130652785301208,
|
| 140 |
+
"learning_rate": 1.837685848629965e-05,
|
| 141 |
+
"loss": 0.9074,
|
| 142 |
+
"step": 19
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.65,
|
| 146 |
+
"grad_norm": 0.4877808690071106,
|
| 147 |
+
"learning_rate": 1.817422338558892e-05,
|
| 148 |
+
"loss": 0.8972,
|
| 149 |
+
"step": 20
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.68,
|
| 153 |
+
"grad_norm": 0.48035475611686707,
|
| 154 |
+
"learning_rate": 1.796093065705644e-05,
|
| 155 |
+
"loss": 0.9162,
|
| 156 |
+
"step": 21
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.72,
|
| 160 |
+
"grad_norm": 0.45466920733451843,
|
| 161 |
+
"learning_rate": 1.7737258393728363e-05,
|
| 162 |
+
"loss": 0.9067,
|
| 163 |
+
"step": 22
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.75,
|
| 167 |
+
"grad_norm": 0.49428102374076843,
|
| 168 |
+
"learning_rate": 1.7503498221564026e-05,
|
| 169 |
+
"loss": 0.9073,
|
| 170 |
+
"step": 23
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.78,
|
| 174 |
+
"grad_norm": 0.49855947494506836,
|
| 175 |
+
"learning_rate": 1.725995491923131e-05,
|
| 176 |
+
"loss": 0.941,
|
| 177 |
+
"step": 24
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.81,
|
| 181 |
+
"grad_norm": 0.4245299696922302,
|
| 182 |
+
"learning_rate": 1.7006946020733426e-05,
|
| 183 |
+
"loss": 0.8765,
|
| 184 |
+
"step": 25
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.85,
|
| 188 |
+
"grad_norm": 0.45259377360343933,
|
| 189 |
+
"learning_rate": 1.6744801401405138e-05,
|
| 190 |
+
"loss": 0.8845,
|
| 191 |
+
"step": 26
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.88,
|
| 195 |
+
"grad_norm": 0.45279204845428467,
|
| 196 |
+
"learning_rate": 1.647386284781828e-05,
|
| 197 |
+
"loss": 0.9069,
|
| 198 |
+
"step": 27
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.91,
|
| 202 |
+
"grad_norm": 0.4377584159374237,
|
| 203 |
+
"learning_rate": 1.6194483612157232e-05,
|
| 204 |
+
"loss": 0.8889,
|
| 205 |
+
"step": 28
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.94,
|
| 209 |
+
"grad_norm": 0.44903799891471863,
|
| 210 |
+
"learning_rate": 1.590702795164551e-05,
|
| 211 |
+
"loss": 0.8981,
|
| 212 |
+
"step": 29
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.98,
|
| 216 |
+
"grad_norm": 0.44891077280044556,
|
| 217 |
+
"learning_rate": 1.5611870653623826e-05,
|
| 218 |
+
"loss": 0.8773,
|
| 219 |
+
"step": 30
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 1.01,
|
| 223 |
+
"grad_norm": 0.49123069643974304,
|
| 224 |
+
"learning_rate": 1.530939654689887e-05,
|
| 225 |
+
"loss": 0.8863,
|
| 226 |
+
"step": 31
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 1.04,
|
| 230 |
+
"grad_norm": 0.49654659628868103,
|
| 231 |
+
"learning_rate": 1.5000000000000002e-05,
|
| 232 |
+
"loss": 0.7918,
|
| 233 |
+
"step": 32
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 1.07,
|
| 237 |
+
"grad_norm": 0.4908214807510376,
|
| 238 |
+
"learning_rate": 1.4684084406997903e-05,
|
| 239 |
+
"loss": 0.761,
|
| 240 |
+
"step": 33
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 1.11,
|
| 244 |
+
"grad_norm": 0.45682042837142944,
|
| 245 |
+
"learning_rate": 1.4362061661555675e-05,
|
| 246 |
+
"loss": 0.781,
|
| 247 |
+
"step": 34
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 1.14,
|
| 251 |
+
"grad_norm": 0.466132253408432,
|
| 252 |
+
"learning_rate": 1.4034351619898088e-05,
|
| 253 |
+
"loss": 0.7392,
|
| 254 |
+
"step": 35
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 1.17,
|
| 258 |
+
"grad_norm": 0.4905536472797394,
|
| 259 |
+
"learning_rate": 1.3701381553399147e-05,
|
| 260 |
+
"loss": 0.763,
|
| 261 |
+
"step": 36
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 1.2,
|
| 265 |
+
"grad_norm": 0.48623326420783997,
|
| 266 |
+
"learning_rate": 1.3363585591501751e-05,
|
| 267 |
+
"loss": 0.7628,
|
| 268 |
+
"step": 37
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 1.24,
|
| 272 |
+
"grad_norm": 0.48992201685905457,
|
| 273 |
+
"learning_rate": 1.3021404155695728e-05,
|
| 274 |
+
"loss": 0.7798,
|
| 275 |
+
"step": 38
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 1.27,
|
| 279 |
+
"grad_norm": 0.45171797275543213,
|
| 280 |
+
"learning_rate": 1.2675283385292212e-05,
|
| 281 |
+
"loss": 0.7196,
|
| 282 |
+
"step": 39
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 1.3,
|
| 286 |
+
"grad_norm": 0.48216456174850464,
|
| 287 |
+
"learning_rate": 1.2325674555743106e-05,
|
| 288 |
+
"loss": 0.7346,
|
| 289 |
+
"step": 40
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 1.33,
|
| 293 |
+
"grad_norm": 0.44965651631355286,
|
| 294 |
+
"learning_rate": 1.1973033490264e-05,
|
| 295 |
+
"loss": 0.7058,
|
| 296 |
+
"step": 41
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 1.37,
|
| 300 |
+
"grad_norm": 0.5034527778625488,
|
| 301 |
+
"learning_rate": 1.161781996552765e-05,
|
| 302 |
+
"loss": 0.7719,
|
| 303 |
+
"step": 42
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 1.4,
|
| 307 |
+
"grad_norm": 0.5173734426498413,
|
| 308 |
+
"learning_rate": 1.1260497112202895e-05,
|
| 309 |
+
"loss": 0.745,
|
| 310 |
+
"step": 43
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 1.43,
|
| 314 |
+
"grad_norm": 0.49784746766090393,
|
| 315 |
+
"learning_rate": 1.0901530811120655e-05,
|
| 316 |
+
"loss": 0.7376,
|
| 317 |
+
"step": 44
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 1.46,
|
| 321 |
+
"grad_norm": 0.4722931385040283,
|
| 322 |
+
"learning_rate": 1.0541389085854177e-05,
|
| 323 |
+
"loss": 0.7419,
|
| 324 |
+
"step": 45
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 1.5,
|
| 328 |
+
"grad_norm": 0.4892752170562744,
|
| 329 |
+
"learning_rate": 1.0180541492505605e-05,
|
| 330 |
+
"loss": 0.6948,
|
| 331 |
+
"step": 46
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 1.53,
|
| 335 |
+
"grad_norm": 0.4865082800388336,
|
| 336 |
+
"learning_rate": 9.819458507494395e-06,
|
| 337 |
+
"loss": 0.634,
|
| 338 |
+
"step": 47
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 1.56,
|
| 342 |
+
"grad_norm": 0.5185601711273193,
|
| 343 |
+
"learning_rate": 9.458610914145826e-06,
|
| 344 |
+
"loss": 0.6824,
|
| 345 |
+
"step": 48
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 1.59,
|
| 349 |
+
"grad_norm": 0.47616997361183167,
|
| 350 |
+
"learning_rate": 9.098469188879348e-06,
|
| 351 |
+
"loss": 0.7001,
|
| 352 |
+
"step": 49
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 1.63,
|
| 356 |
+
"grad_norm": 0.49744558334350586,
|
| 357 |
+
"learning_rate": 8.739502887797108e-06,
|
| 358 |
+
"loss": 0.7358,
|
| 359 |
+
"step": 50
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 1.66,
|
| 363 |
+
"grad_norm": 0.5162651538848877,
|
| 364 |
+
"learning_rate": 8.382180034472353e-06,
|
| 365 |
+
"loss": 0.7079,
|
| 366 |
+
"step": 51
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 1.69,
|
| 370 |
+
"grad_norm": 0.5150533318519592,
|
| 371 |
+
"learning_rate": 8.026966509736001e-06,
|
| 372 |
+
"loss": 0.6997,
|
| 373 |
+
"step": 52
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 1.72,
|
| 377 |
+
"grad_norm": 1.0735119581222534,
|
| 378 |
+
"learning_rate": 7.674325444256899e-06,
|
| 379 |
+
"loss": 0.7211,
|
| 380 |
+
"step": 53
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 1.76,
|
| 384 |
+
"grad_norm": 0.4927270710468292,
|
| 385 |
+
"learning_rate": 7.324716614707794e-06,
|
| 386 |
+
"loss": 0.7257,
|
| 387 |
+
"step": 54
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 1.79,
|
| 391 |
+
"grad_norm": 0.49033042788505554,
|
| 392 |
+
"learning_rate": 6.978595844304272e-06,
|
| 393 |
+
"loss": 0.728,
|
| 394 |
+
"step": 55
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 1.82,
|
| 398 |
+
"grad_norm": 0.5927804112434387,
|
| 399 |
+
"learning_rate": 6.636414408498249e-06,
|
| 400 |
+
"loss": 0.6914,
|
| 401 |
+
"step": 56
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 1.85,
|
| 405 |
+
"grad_norm": 0.5300837159156799,
|
| 406 |
+
"learning_rate": 6.298618446600856e-06,
|
| 407 |
+
"loss": 0.7206,
|
| 408 |
+
"step": 57
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 1.89,
|
| 412 |
+
"grad_norm": 0.4967361092567444,
|
| 413 |
+
"learning_rate": 5.965648380101916e-06,
|
| 414 |
+
"loss": 0.6897,
|
| 415 |
+
"step": 58
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 1.92,
|
| 419 |
+
"grad_norm": 0.5123832821846008,
|
| 420 |
+
"learning_rate": 5.637938338444325e-06,
|
| 421 |
+
"loss": 0.7064,
|
| 422 |
+
"step": 59
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 1.95,
|
| 426 |
+
"grad_norm": 0.5195019245147705,
|
| 427 |
+
"learning_rate": 5.3159155930021e-06,
|
| 428 |
+
"loss": 0.6979,
|
| 429 |
+
"step": 60
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 1.98,
|
| 433 |
+
"grad_norm": 0.5248487591743469,
|
| 434 |
+
"learning_rate": 5.000000000000003e-06,
|
| 435 |
+
"loss": 0.6823,
|
| 436 |
+
"step": 61
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 2.02,
|
| 440 |
+
"grad_norm": 0.5308733582496643,
|
| 441 |
+
"learning_rate": 4.690603453101134e-06,
|
| 442 |
+
"loss": 0.6827,
|
| 443 |
+
"step": 62
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 2.05,
|
| 447 |
+
"grad_norm": 0.5279427766799927,
|
| 448 |
+
"learning_rate": 4.388129346376177e-06,
|
| 449 |
+
"loss": 0.6421,
|
| 450 |
+
"step": 63
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 2.08,
|
| 454 |
+
"grad_norm": 0.4864795207977295,
|
| 455 |
+
"learning_rate": 4.092972048354491e-06,
|
| 456 |
+
"loss": 0.5883,
|
| 457 |
+
"step": 64
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 2.11,
|
| 461 |
+
"grad_norm": 0.4978441894054413,
|
| 462 |
+
"learning_rate": 3.8055163878427703e-06,
|
| 463 |
+
"loss": 0.5958,
|
| 464 |
+
"step": 65
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 2.15,
|
| 468 |
+
"grad_norm": 0.5329935550689697,
|
| 469 |
+
"learning_rate": 3.5261371521817247e-06,
|
| 470 |
+
"loss": 0.6346,
|
| 471 |
+
"step": 66
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 2.18,
|
| 475 |
+
"grad_norm": 0.4853770434856415,
|
| 476 |
+
"learning_rate": 3.255198598594862e-06,
|
| 477 |
+
"loss": 0.5986,
|
| 478 |
+
"step": 67
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 2.21,
|
| 482 |
+
"grad_norm": 0.5128601789474487,
|
| 483 |
+
"learning_rate": 2.9930539792665767e-06,
|
| 484 |
+
"loss": 0.6008,
|
| 485 |
+
"step": 68
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 2.24,
|
| 489 |
+
"grad_norm": 0.5175537467002869,
|
| 490 |
+
"learning_rate": 2.740045080768694e-06,
|
| 491 |
+
"loss": 0.5825,
|
| 492 |
+
"step": 69
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 2.28,
|
| 496 |
+
"grad_norm": 0.5446229577064514,
|
| 497 |
+
"learning_rate": 2.496501778435977e-06,
|
| 498 |
+
"loss": 0.6201,
|
| 499 |
+
"step": 70
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 2.31,
|
| 503 |
+
"grad_norm": 0.5520351529121399,
|
| 504 |
+
"learning_rate": 2.2627416062716366e-06,
|
| 505 |
+
"loss": 0.6502,
|
| 506 |
+
"step": 71
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 2.34,
|
| 510 |
+
"grad_norm": 0.5046796202659607,
|
| 511 |
+
"learning_rate": 2.0390693429435626e-06,
|
| 512 |
+
"loss": 0.5877,
|
| 513 |
+
"step": 72
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 2.37,
|
| 517 |
+
"grad_norm": 0.5116910338401794,
|
| 518 |
+
"learning_rate": 1.8257766144110823e-06,
|
| 519 |
+
"loss": 0.5992,
|
| 520 |
+
"step": 73
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 2.41,
|
| 524 |
+
"grad_norm": 0.5164862871170044,
|
| 525 |
+
"learning_rate": 1.6231415137003536e-06,
|
| 526 |
+
"loss": 0.5826,
|
| 527 |
+
"step": 74
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 2.44,
|
| 531 |
+
"grad_norm": 0.5107815265655518,
|
| 532 |
+
"learning_rate": 1.4314282383241097e-06,
|
| 533 |
+
"loss": 0.5679,
|
| 534 |
+
"step": 75
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 2.47,
|
| 538 |
+
"grad_norm": 0.5102241039276123,
|
| 539 |
+
"learning_rate": 1.2508867458185037e-06,
|
| 540 |
+
"loss": 0.5972,
|
| 541 |
+
"step": 76
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 2.5,
|
| 545 |
+
"grad_norm": 0.5415460467338562,
|
| 546 |
+
"learning_rate": 1.0817524278461777e-06,
|
| 547 |
+
"loss": 0.5738,
|
| 548 |
+
"step": 77
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 2.54,
|
| 552 |
+
"grad_norm": 0.525007426738739,
|
| 553 |
+
"learning_rate": 9.242458032904311e-07,
|
| 554 |
+
"loss": 0.592,
|
| 555 |
+
"step": 78
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 2.57,
|
| 559 |
+
"grad_norm": 0.48747336864471436,
|
| 560 |
+
"learning_rate": 7.785722307406685e-07,
|
| 561 |
+
"loss": 0.5858,
|
| 562 |
+
"step": 79
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 2.6,
|
| 566 |
+
"grad_norm": 0.5466867089271545,
|
| 567 |
+
"learning_rate": 6.449216407439906e-07,
|
| 568 |
+
"loss": 0.6307,
|
| 569 |
+
"step": 80
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 2.63,
|
| 573 |
+
"grad_norm": 0.529702365398407,
|
| 574 |
+
"learning_rate": 5.234682881719766e-07,
|
| 575 |
+
"loss": 0.6177,
|
| 576 |
+
"step": 81
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 2.67,
|
| 580 |
+
"grad_norm": 0.550619900226593,
|
| 581 |
+
"learning_rate": 4.1437052502558693e-07,
|
| 582 |
+
"loss": 0.6064,
|
| 583 |
+
"step": 82
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 2.7,
|
| 587 |
+
"grad_norm": 0.5231672525405884,
|
| 588 |
+
"learning_rate": 3.1777059397436693e-07,
|
| 589 |
+
"loss": 0.6194,
|
| 590 |
+
"step": 83
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 2.73,
|
| 594 |
+
"grad_norm": 0.506498396396637,
|
| 595 |
+
"learning_rate": 2.3379444289913344e-07,
|
| 596 |
+
"loss": 0.6191,
|
| 597 |
+
"step": 84
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 2.76,
|
| 601 |
+
"grad_norm": 0.5445461273193359,
|
| 602 |
+
"learning_rate": 1.6255156067997325e-07,
|
| 603 |
+
"loss": 0.5635,
|
| 604 |
+
"step": 85
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 2.8,
|
| 608 |
+
"grad_norm": 0.5693822503089905,
|
| 609 |
+
"learning_rate": 1.041348344436277e-07,
|
| 610 |
+
"loss": 0.6426,
|
| 611 |
+
"step": 86
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 2.83,
|
| 615 |
+
"grad_norm": 0.5474693775177002,
|
| 616 |
+
"learning_rate": 5.862042845640403e-08,
|
| 617 |
+
"loss": 0.6243,
|
| 618 |
+
"step": 87
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 2.86,
|
| 622 |
+
"grad_norm": 0.5175514221191406,
|
| 623 |
+
"learning_rate": 2.606768482050215e-08,
|
| 624 |
+
"loss": 0.5747,
|
| 625 |
+
"step": 88
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 2.89,
|
| 629 |
+
"grad_norm": 0.5419387221336365,
|
| 630 |
+
"learning_rate": 6.5190461032305085e-09,
|
| 631 |
+
"loss": 0.6008,
|
| 632 |
+
"step": 89
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 2.93,
|
| 636 |
+
"grad_norm": 0.4993443787097931,
|
| 637 |
+
"learning_rate": 0.0,
|
| 638 |
+
"loss": 0.6343,
|
| 639 |
+
"step": 90
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 2.93,
|
| 643 |
+
"step": 90,
|
| 644 |
+
"total_flos": 2.582894619708621e+16,
|
| 645 |
+
"train_loss": 0.7904547598626879,
|
| 646 |
+
"train_runtime": 253.8743,
|
| 647 |
+
"train_samples_per_second": 46.381,
|
| 648 |
+
"train_steps_per_second": 0.355
|
| 649 |
+
}
|
| 650 |
+
],
|
| 651 |
+
"logging_steps": 1.0,
|
| 652 |
+
"max_steps": 90,
|
| 653 |
+
"num_input_tokens_seen": 0,
|
| 654 |
+
"num_train_epochs": 3,
|
| 655 |
+
"save_steps": 1000,
|
| 656 |
+
"total_flos": 2.582894619708621e+16,
|
| 657 |
+
"train_batch_size": 4,
|
| 658 |
+
"trial_name": null,
|
| 659 |
+
"trial_params": null
|
| 660 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:94f58500a790cf7f63d130398989aa53d1f6701a5feb223dea56db61b6e23361
|
| 3 |
+
size 5176
|