vxbrandon commited on
Commit
f3512ba
1 Parent(s): 0f9ade2

End of training

Browse files
README.md CHANGED
@@ -4,18 +4,18 @@ base_model: mistralai/Mistral-7B-v0.1
4
  tags:
5
  - generated_from_trainer
6
  model-index:
7
- - name: Mistral_Sparse_refined_web_50p_2024-03-21
8
  results: []
9
  ---
10
 
11
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
  should probably proofread and complete it, then remove this comment. -->
13
 
14
- # Mistral_Sparse_refined_web_50p_2024-03-21
15
 
16
  This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: 2.1512
19
 
20
  ## Model description
21
 
@@ -45,7 +45,7 @@ The following hyperparameters were used during training:
45
  - total_eval_batch_size: 3
46
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
  - lr_scheduler_type: linear
48
- - training_steps: 501
49
 
50
  ### Training results
51
 
@@ -71,6 +71,16 @@ The following hyperparameters were used during training:
71
  | 2.1997 | 0.05 | 450 | 2.4123 |
72
  | 2.2937 | 0.06 | 475 | 2.4086 |
73
  | 2.3067 | 0.06 | 500 | 2.4052 |
 
 
 
 
 
 
 
 
 
 
74
 
75
 
76
  ### Framework versions
 
4
  tags:
5
  - generated_from_trainer
6
  model-index:
7
+ - name: Mistral_Sparse_refined_web_50p_2024-03-22
8
  results: []
9
  ---
10
 
11
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
  should probably proofread and complete it, then remove this comment. -->
13
 
14
+ # Mistral_Sparse_refined_web_50p_2024-03-22
15
 
16
  This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 2.1398
19
 
20
  ## Model description
21
 
 
45
  - total_eval_batch_size: 3
46
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
  - lr_scheduler_type: linear
48
+ - training_steps: 751
49
 
50
  ### Training results
51
 
 
71
  | 2.1997 | 0.05 | 450 | 2.4123 |
72
  | 2.2937 | 0.06 | 475 | 2.4086 |
73
  | 2.3067 | 0.06 | 500 | 2.4052 |
74
+ | 2.312 | 0.06 | 525 | 2.4060 |
75
+ | 2.257 | 0.07 | 550 | 2.4056 |
76
+ | 2.2729 | 0.07 | 575 | 2.4051 |
77
+ | 2.1952 | 0.07 | 600 | 2.4065 |
78
+ | 2.1225 | 0.07 | 625 | 2.3999 |
79
+ | 2.2168 | 0.08 | 650 | 2.4039 |
80
+ | 2.1682 | 0.08 | 675 | 2.4006 |
81
+ | 2.3027 | 0.08 | 700 | 2.4028 |
82
+ | 2.2077 | 0.09 | 725 | 2.4006 |
83
+ | 2.2119 | 0.09 | 750 | 2.3980 |
84
 
85
 
86
  ### Framework versions
model-00001-of-00003.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:95729f8aae782d1dc5112c74b463100926416d372874db0b1b025e1ee4f6aacd
3
  size 4943162336
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6b8097c48bc1e2ddb05f69442c852d8358ee17b7f6c1b9af4fa74d261accde7a
3
  size 4943162336
model-00002-of-00003.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d1a91505db655a8e3306808cdd365de8f920952ea30ef28ebbdca5864e81b0fd
3
  size 4999819336
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:eb1bbeca18b9b8972d60552d9663c0089e2759139994a808566228496b7346bb
3
  size 4999819336
model-00003-of-00003.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c7eaf0b6353ca719e0ec6fd4f52c905bc677a752fa7bead4ca9e27509ec8f532
3
  size 4540516344
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2ab648e4e6f6f77b4cfcab71e88116ee670033c5d2e35384f5afb91eccf55abc
3
  size 4540516344