Training in progress, epoch 11, checkpoint
Browse files- checkpoint-39589/README.md +202 -0
- checkpoint-39589/adapter_config.json +32 -0
- checkpoint-39589/adapter_model.safetensors +3 -0
- checkpoint-39589/optimizer.pt +3 -0
- checkpoint-39589/rng_state_0.pth +3 -0
- checkpoint-39589/rng_state_1.pth +3 -0
- checkpoint-39589/rng_state_2.pth +3 -0
- checkpoint-39589/rng_state_3.pth +3 -0
- checkpoint-39589/rng_state_4.pth +3 -0
- checkpoint-39589/rng_state_5.pth +3 -0
- checkpoint-39589/rng_state_6.pth +3 -0
- checkpoint-39589/rng_state_7.pth +3 -0
- checkpoint-39589/scheduler.pt +3 -0
- checkpoint-39589/trainer_state.json +802 -0
- checkpoint-39589/training_args.bin +3 -0
    	
        checkpoint-39589/README.md
    ADDED
    
    | @@ -0,0 +1,202 @@ | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            ---
         | 
| 2 | 
            +
            base_model: deepseek-ai/deepseek-coder-1.3b-base
         | 
| 3 | 
            +
            library_name: peft
         | 
| 4 | 
            +
            ---
         | 
| 5 | 
            +
             | 
| 6 | 
            +
            # Model Card for Model ID
         | 
| 7 | 
            +
             | 
| 8 | 
            +
            <!-- Provide a quick summary of what the model is/does. -->
         | 
| 9 | 
            +
             | 
| 10 | 
            +
             | 
| 11 | 
            +
             | 
| 12 | 
            +
            ## Model Details
         | 
| 13 | 
            +
             | 
| 14 | 
            +
            ### Model Description
         | 
| 15 | 
            +
             | 
| 16 | 
            +
            <!-- Provide a longer summary of what this model is. -->
         | 
| 17 | 
            +
             | 
| 18 | 
            +
             | 
| 19 | 
            +
             | 
| 20 | 
            +
            - **Developed by:** [More Information Needed]
         | 
| 21 | 
            +
            - **Funded by [optional]:** [More Information Needed]
         | 
| 22 | 
            +
            - **Shared by [optional]:** [More Information Needed]
         | 
| 23 | 
            +
            - **Model type:** [More Information Needed]
         | 
| 24 | 
            +
            - **Language(s) (NLP):** [More Information Needed]
         | 
| 25 | 
            +
            - **License:** [More Information Needed]
         | 
| 26 | 
            +
            - **Finetuned from model [optional]:** [More Information Needed]
         | 
| 27 | 
            +
             | 
| 28 | 
            +
            ### Model Sources [optional]
         | 
| 29 | 
            +
             | 
| 30 | 
            +
            <!-- Provide the basic links for the model. -->
         | 
| 31 | 
            +
             | 
| 32 | 
            +
            - **Repository:** [More Information Needed]
         | 
| 33 | 
            +
            - **Paper [optional]:** [More Information Needed]
         | 
| 34 | 
            +
            - **Demo [optional]:** [More Information Needed]
         | 
| 35 | 
            +
             | 
| 36 | 
            +
            ## Uses
         | 
| 37 | 
            +
             | 
| 38 | 
            +
            <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
         | 
| 39 | 
            +
             | 
| 40 | 
            +
            ### Direct Use
         | 
| 41 | 
            +
             | 
| 42 | 
            +
            <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
         | 
| 43 | 
            +
             | 
| 44 | 
            +
            [More Information Needed]
         | 
| 45 | 
            +
             | 
| 46 | 
            +
            ### Downstream Use [optional]
         | 
| 47 | 
            +
             | 
| 48 | 
            +
            <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
         | 
| 49 | 
            +
             | 
| 50 | 
            +
            [More Information Needed]
         | 
| 51 | 
            +
             | 
| 52 | 
            +
            ### Out-of-Scope Use
         | 
| 53 | 
            +
             | 
| 54 | 
            +
            <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
         | 
| 55 | 
            +
             | 
| 56 | 
            +
            [More Information Needed]
         | 
| 57 | 
            +
             | 
| 58 | 
            +
            ## Bias, Risks, and Limitations
         | 
| 59 | 
            +
             | 
| 60 | 
            +
            <!-- This section is meant to convey both technical and sociotechnical limitations. -->
         | 
| 61 | 
            +
             | 
| 62 | 
            +
            [More Information Needed]
         | 
| 63 | 
            +
             | 
| 64 | 
            +
            ### Recommendations
         | 
| 65 | 
            +
             | 
| 66 | 
            +
            <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
         | 
| 67 | 
            +
             | 
| 68 | 
            +
            Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
         | 
| 69 | 
            +
             | 
| 70 | 
            +
            ## How to Get Started with the Model
         | 
| 71 | 
            +
             | 
| 72 | 
            +
            Use the code below to get started with the model.
         | 
| 73 | 
            +
             | 
| 74 | 
            +
            [More Information Needed]
         | 
| 75 | 
            +
             | 
| 76 | 
            +
            ## Training Details
         | 
| 77 | 
            +
             | 
| 78 | 
            +
            ### Training Data
         | 
| 79 | 
            +
             | 
| 80 | 
            +
            <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
         | 
| 81 | 
            +
             | 
| 82 | 
            +
            [More Information Needed]
         | 
| 83 | 
            +
             | 
| 84 | 
            +
            ### Training Procedure
         | 
| 85 | 
            +
             | 
| 86 | 
            +
            <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
         | 
| 87 | 
            +
             | 
| 88 | 
            +
            #### Preprocessing [optional]
         | 
| 89 | 
            +
             | 
| 90 | 
            +
            [More Information Needed]
         | 
| 91 | 
            +
             | 
| 92 | 
            +
             | 
| 93 | 
            +
            #### Training Hyperparameters
         | 
| 94 | 
            +
             | 
| 95 | 
            +
            - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
         | 
| 96 | 
            +
             | 
| 97 | 
            +
            #### Speeds, Sizes, Times [optional]
         | 
| 98 | 
            +
             | 
| 99 | 
            +
            <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
         | 
| 100 | 
            +
             | 
| 101 | 
            +
            [More Information Needed]
         | 
| 102 | 
            +
             | 
| 103 | 
            +
            ## Evaluation
         | 
| 104 | 
            +
             | 
| 105 | 
            +
            <!-- This section describes the evaluation protocols and provides the results. -->
         | 
| 106 | 
            +
             | 
| 107 | 
            +
            ### Testing Data, Factors & Metrics
         | 
| 108 | 
            +
             | 
| 109 | 
            +
            #### Testing Data
         | 
| 110 | 
            +
             | 
| 111 | 
            +
            <!-- This should link to a Dataset Card if possible. -->
         | 
| 112 | 
            +
             | 
| 113 | 
            +
            [More Information Needed]
         | 
| 114 | 
            +
             | 
| 115 | 
            +
            #### Factors
         | 
| 116 | 
            +
             | 
| 117 | 
            +
            <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
         | 
| 118 | 
            +
             | 
| 119 | 
            +
            [More Information Needed]
         | 
| 120 | 
            +
             | 
| 121 | 
            +
            #### Metrics
         | 
| 122 | 
            +
             | 
| 123 | 
            +
            <!-- These are the evaluation metrics being used, ideally with a description of why. -->
         | 
| 124 | 
            +
             | 
| 125 | 
            +
            [More Information Needed]
         | 
| 126 | 
            +
             | 
| 127 | 
            +
            ### Results
         | 
| 128 | 
            +
             | 
| 129 | 
            +
            [More Information Needed]
         | 
| 130 | 
            +
             | 
| 131 | 
            +
            #### Summary
         | 
| 132 | 
            +
             | 
| 133 | 
            +
             | 
| 134 | 
            +
             | 
| 135 | 
            +
            ## Model Examination [optional]
         | 
| 136 | 
            +
             | 
| 137 | 
            +
            <!-- Relevant interpretability work for the model goes here -->
         | 
| 138 | 
            +
             | 
| 139 | 
            +
            [More Information Needed]
         | 
| 140 | 
            +
             | 
| 141 | 
            +
            ## Environmental Impact
         | 
| 142 | 
            +
             | 
| 143 | 
            +
            <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
         | 
| 144 | 
            +
             | 
| 145 | 
            +
            Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
         | 
| 146 | 
            +
             | 
| 147 | 
            +
            - **Hardware Type:** [More Information Needed]
         | 
| 148 | 
            +
            - **Hours used:** [More Information Needed]
         | 
| 149 | 
            +
            - **Cloud Provider:** [More Information Needed]
         | 
| 150 | 
            +
            - **Compute Region:** [More Information Needed]
         | 
| 151 | 
            +
            - **Carbon Emitted:** [More Information Needed]
         | 
| 152 | 
            +
             | 
| 153 | 
            +
            ## Technical Specifications [optional]
         | 
| 154 | 
            +
             | 
| 155 | 
            +
            ### Model Architecture and Objective
         | 
| 156 | 
            +
             | 
| 157 | 
            +
            [More Information Needed]
         | 
| 158 | 
            +
             | 
| 159 | 
            +
            ### Compute Infrastructure
         | 
| 160 | 
            +
             | 
| 161 | 
            +
            [More Information Needed]
         | 
| 162 | 
            +
             | 
| 163 | 
            +
            #### Hardware
         | 
| 164 | 
            +
             | 
| 165 | 
            +
            [More Information Needed]
         | 
| 166 | 
            +
             | 
| 167 | 
            +
            #### Software
         | 
| 168 | 
            +
             | 
| 169 | 
            +
            [More Information Needed]
         | 
| 170 | 
            +
             | 
| 171 | 
            +
            ## Citation [optional]
         | 
| 172 | 
            +
             | 
| 173 | 
            +
            <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
         | 
| 174 | 
            +
             | 
| 175 | 
            +
            **BibTeX:**
         | 
| 176 | 
            +
             | 
| 177 | 
            +
            [More Information Needed]
         | 
| 178 | 
            +
             | 
| 179 | 
            +
            **APA:**
         | 
| 180 | 
            +
             | 
| 181 | 
            +
            [More Information Needed]
         | 
| 182 | 
            +
             | 
| 183 | 
            +
            ## Glossary [optional]
         | 
| 184 | 
            +
             | 
| 185 | 
            +
            <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
         | 
| 186 | 
            +
             | 
| 187 | 
            +
            [More Information Needed]
         | 
| 188 | 
            +
             | 
| 189 | 
            +
            ## More Information [optional]
         | 
| 190 | 
            +
             | 
| 191 | 
            +
            [More Information Needed]
         | 
| 192 | 
            +
             | 
| 193 | 
            +
            ## Model Card Authors [optional]
         | 
| 194 | 
            +
             | 
| 195 | 
            +
            [More Information Needed]
         | 
| 196 | 
            +
             | 
| 197 | 
            +
            ## Model Card Contact
         | 
| 198 | 
            +
             | 
| 199 | 
            +
            [More Information Needed]
         | 
| 200 | 
            +
            ### Framework versions
         | 
| 201 | 
            +
             | 
| 202 | 
            +
            - PEFT 0.14.0
         | 
    	
        checkpoint-39589/adapter_config.json
    ADDED
    
    | @@ -0,0 +1,32 @@ | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            {
         | 
| 2 | 
            +
              "alpha_pattern": {},
         | 
| 3 | 
            +
              "auto_mapping": null,
         | 
| 4 | 
            +
              "base_model_name_or_path": "deepseek-ai/deepseek-coder-1.3b-base",
         | 
| 5 | 
            +
              "bias": "none",
         | 
| 6 | 
            +
              "eva_config": null,
         | 
| 7 | 
            +
              "exclude_modules": null,
         | 
| 8 | 
            +
              "fan_in_fan_out": false,
         | 
| 9 | 
            +
              "inference_mode": true,
         | 
| 10 | 
            +
              "init_lora_weights": true,
         | 
| 11 | 
            +
              "layer_replication": null,
         | 
| 12 | 
            +
              "layers_pattern": null,
         | 
| 13 | 
            +
              "layers_to_transform": null,
         | 
| 14 | 
            +
              "loftq_config": {},
         | 
| 15 | 
            +
              "lora_alpha": 32,
         | 
| 16 | 
            +
              "lora_bias": false,
         | 
| 17 | 
            +
              "lora_dropout": 0.05,
         | 
| 18 | 
            +
              "megatron_config": null,
         | 
| 19 | 
            +
              "megatron_core": "megatron.core",
         | 
| 20 | 
            +
              "modules_to_save": null,
         | 
| 21 | 
            +
              "peft_type": "LORA",
         | 
| 22 | 
            +
              "r": 8,
         | 
| 23 | 
            +
              "rank_pattern": {},
         | 
| 24 | 
            +
              "revision": null,
         | 
| 25 | 
            +
              "target_modules": [
         | 
| 26 | 
            +
                "q_proj",
         | 
| 27 | 
            +
                "v_proj"
         | 
| 28 | 
            +
              ],
         | 
| 29 | 
            +
              "task_type": "CAUSAL_LM",
         | 
| 30 | 
            +
              "use_dora": false,
         | 
| 31 | 
            +
              "use_rslora": false
         | 
| 32 | 
            +
            }
         | 
    	
        checkpoint-39589/adapter_model.safetensors
    ADDED
    
    | @@ -0,0 +1,3 @@ | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            version https://git-lfs.github.com/spec/v1
         | 
| 2 | 
            +
            oid sha256:079a2a63a6e1924a34b7418312a8bccb8df4580f492f354c46f191d8166cd686
         | 
| 3 | 
            +
            size 268636736
         | 
    	
        checkpoint-39589/optimizer.pt
    ADDED
    
    | @@ -0,0 +1,3 @@ | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            version https://git-lfs.github.com/spec/v1
         | 
| 2 | 
            +
            oid sha256:cd96ef518068a4e3988f9e9dca164c11910e1b062332ed4235e7413ca6d16769
         | 
| 3 | 
            +
            size 12663802
         | 
    	
        checkpoint-39589/rng_state_0.pth
    ADDED
    
    | @@ -0,0 +1,3 @@ | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            version https://git-lfs.github.com/spec/v1
         | 
| 2 | 
            +
            oid sha256:60aa8adf2af0b02eb4aa79db33b195c5511ad64cbcd6a660af14ebce8c9ec477
         | 
| 3 | 
            +
            size 15984
         | 
    	
        checkpoint-39589/rng_state_1.pth
    ADDED
    
    | @@ -0,0 +1,3 @@ | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            version https://git-lfs.github.com/spec/v1
         | 
| 2 | 
            +
            oid sha256:47c61a48a0f75670c6ed77585feced5bd1ac3f8994a505e7c445bc6a709964a0
         | 
| 3 | 
            +
            size 15984
         | 
    	
        checkpoint-39589/rng_state_2.pth
    ADDED
    
    | @@ -0,0 +1,3 @@ | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            version https://git-lfs.github.com/spec/v1
         | 
| 2 | 
            +
            oid sha256:67783c8aa29d5dd336608db3ad698604dda971556aea53e84af3ac6d6b7b2e7b
         | 
| 3 | 
            +
            size 15984
         | 
    	
        checkpoint-39589/rng_state_3.pth
    ADDED
    
    | @@ -0,0 +1,3 @@ | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            version https://git-lfs.github.com/spec/v1
         | 
| 2 | 
            +
            oid sha256:0eb53f6391197f2b04ee8c18a3f93276bf000dbe87d7d65fb55b82ea949a9067
         | 
| 3 | 
            +
            size 15984
         | 
    	
        checkpoint-39589/rng_state_4.pth
    ADDED
    
    | @@ -0,0 +1,3 @@ | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            version https://git-lfs.github.com/spec/v1
         | 
| 2 | 
            +
            oid sha256:28b24a61d99bd56daa0e82925adb1f59893c0a6b30ae3d9587fc6442950d0acc
         | 
| 3 | 
            +
            size 15984
         | 
    	
        checkpoint-39589/rng_state_5.pth
    ADDED
    
    | @@ -0,0 +1,3 @@ | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            version https://git-lfs.github.com/spec/v1
         | 
| 2 | 
            +
            oid sha256:81e7e37a4a4ff87bd975b17a4b6b65c5c1bd2e927b8fdb8eeeba701cc9dac4f9
         | 
| 3 | 
            +
            size 15984
         | 
    	
        checkpoint-39589/rng_state_6.pth
    ADDED
    
    | @@ -0,0 +1,3 @@ | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            version https://git-lfs.github.com/spec/v1
         | 
| 2 | 
            +
            oid sha256:2cb8d01058e1405e59ef10a7992668ac27896f418fbe5e9e12f57eb5cfe57a8d
         | 
| 3 | 
            +
            size 15984
         | 
    	
        checkpoint-39589/rng_state_7.pth
    ADDED
    
    | @@ -0,0 +1,3 @@ | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            version https://git-lfs.github.com/spec/v1
         | 
| 2 | 
            +
            oid sha256:26ff8ae4a4ef359d419cc4330b96f236ae1fb21b0f6ff4ab06fb16c63aa43b2d
         | 
| 3 | 
            +
            size 15984
         | 
    	
        checkpoint-39589/scheduler.pt
    ADDED
    
    | @@ -0,0 +1,3 @@ | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            version https://git-lfs.github.com/spec/v1
         | 
| 2 | 
            +
            oid sha256:9f82fc68700b2990df394434e44d21090b6de299d8b84f6494fd0c4c8400efb8
         | 
| 3 | 
            +
            size 1064
         | 
    	
        checkpoint-39589/trainer_state.json
    ADDED
    
    | @@ -0,0 +1,802 @@ | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            {
         | 
| 2 | 
            +
              "best_metric": null,
         | 
| 3 | 
            +
              "best_model_checkpoint": null,
         | 
| 4 | 
            +
              "epoch": 11.0,
         | 
| 5 | 
            +
              "eval_steps": 1440,
         | 
| 6 | 
            +
              "global_step": 39589,
         | 
| 7 | 
            +
              "is_hyper_param_search": false,
         | 
| 8 | 
            +
              "is_local_process_zero": true,
         | 
| 9 | 
            +
              "is_world_process_zero": true,
         | 
| 10 | 
            +
              "log_history": [
         | 
| 11 | 
            +
                {
         | 
| 12 | 
            +
                  "epoch": 0.13892747985551543,
         | 
| 13 | 
            +
                  "grad_norm": 0.9003118872642517,
         | 
| 14 | 
            +
                  "learning_rate": 0.000795387607668797,
         | 
| 15 | 
            +
                  "loss": 0.4296,
         | 
| 16 | 
            +
                  "step": 500
         | 
| 17 | 
            +
                },
         | 
| 18 | 
            +
                {
         | 
| 19 | 
            +
                  "epoch": 0.27785495971103086,
         | 
| 20 | 
            +
                  "grad_norm": 2.5679404735565186,
         | 
| 21 | 
            +
                  "learning_rate": 0.0007907566916736131,
         | 
| 22 | 
            +
                  "loss": 0.3243,
         | 
| 23 | 
            +
                  "step": 1000
         | 
| 24 | 
            +
                },
         | 
| 25 | 
            +
                {
         | 
| 26 | 
            +
                  "epoch": 0.4001111419838844,
         | 
| 27 | 
            +
                  "eval_loss": 0.2947143018245697,
         | 
| 28 | 
            +
                  "eval_runtime": 5.7176,
         | 
| 29 | 
            +
                  "eval_samples_per_second": 87.449,
         | 
| 30 | 
            +
                  "eval_steps_per_second": 5.597,
         | 
| 31 | 
            +
                  "step": 1440
         | 
| 32 | 
            +
                },
         | 
| 33 | 
            +
                {
         | 
| 34 | 
            +
                  "epoch": 0.41678243956654626,
         | 
| 35 | 
            +
                  "grad_norm": 0.6454382538795471,
         | 
| 36 | 
            +
                  "learning_rate": 0.0007861257756784293,
         | 
| 37 | 
            +
                  "loss": 0.2985,
         | 
| 38 | 
            +
                  "step": 1500
         | 
| 39 | 
            +
                },
         | 
| 40 | 
            +
                {
         | 
| 41 | 
            +
                  "epoch": 0.5557099194220617,
         | 
| 42 | 
            +
                  "grad_norm": 0.6851354837417603,
         | 
| 43 | 
            +
                  "learning_rate": 0.0007815041215152357,
         | 
| 44 | 
            +
                  "loss": 0.2829,
         | 
| 45 | 
            +
                  "step": 2000
         | 
| 46 | 
            +
                },
         | 
| 47 | 
            +
                {
         | 
| 48 | 
            +
                  "epoch": 0.6946373992775771,
         | 
| 49 | 
            +
                  "grad_norm": 0.7469644546508789,
         | 
| 50 | 
            +
                  "learning_rate": 0.0007768732055200519,
         | 
| 51 | 
            +
                  "loss": 0.2737,
         | 
| 52 | 
            +
                  "step": 2500
         | 
| 53 | 
            +
                },
         | 
| 54 | 
            +
                {
         | 
| 55 | 
            +
                  "epoch": 0.8002222839677688,
         | 
| 56 | 
            +
                  "eval_loss": 0.2755357623100281,
         | 
| 57 | 
            +
                  "eval_runtime": 5.6548,
         | 
| 58 | 
            +
                  "eval_samples_per_second": 88.421,
         | 
| 59 | 
            +
                  "eval_steps_per_second": 5.659,
         | 
| 60 | 
            +
                  "step": 2880
         | 
| 61 | 
            +
                },
         | 
| 62 | 
            +
                {
         | 
| 63 | 
            +
                  "epoch": 0.8335648791330925,
         | 
| 64 | 
            +
                  "grad_norm": 0.6683129072189331,
         | 
| 65 | 
            +
                  "learning_rate": 0.0007722422895248681,
         | 
| 66 | 
            +
                  "loss": 0.2653,
         | 
| 67 | 
            +
                  "step": 3000
         | 
| 68 | 
            +
                },
         | 
| 69 | 
            +
                {
         | 
| 70 | 
            +
                  "epoch": 0.972492358988608,
         | 
| 71 | 
            +
                  "grad_norm": 0.7536308169364929,
         | 
| 72 | 
            +
                  "learning_rate": 0.0007676113735296843,
         | 
| 73 | 
            +
                  "loss": 0.2628,
         | 
| 74 | 
            +
                  "step": 3500
         | 
| 75 | 
            +
                },
         | 
| 76 | 
            +
                {
         | 
| 77 | 
            +
                  "epoch": 1.1114198388441234,
         | 
| 78 | 
            +
                  "grad_norm": 0.6173604726791382,
         | 
| 79 | 
            +
                  "learning_rate": 0.0007629804575345004,
         | 
| 80 | 
            +
                  "loss": 0.2463,
         | 
| 81 | 
            +
                  "step": 4000
         | 
| 82 | 
            +
                },
         | 
| 83 | 
            +
                {
         | 
| 84 | 
            +
                  "epoch": 1.2003334259516532,
         | 
| 85 | 
            +
                  "eval_loss": 0.2620045840740204,
         | 
| 86 | 
            +
                  "eval_runtime": 5.6897,
         | 
| 87 | 
            +
                  "eval_samples_per_second": 87.877,
         | 
| 88 | 
            +
                  "eval_steps_per_second": 5.624,
         | 
| 89 | 
            +
                  "step": 4320
         | 
| 90 | 
            +
                },
         | 
| 91 | 
            +
                {
         | 
| 92 | 
            +
                  "epoch": 1.2503473186996388,
         | 
| 93 | 
            +
                  "grad_norm": 0.9441823363304138,
         | 
| 94 | 
            +
                  "learning_rate": 0.0007583495415393165,
         | 
| 95 | 
            +
                  "loss": 0.2476,
         | 
| 96 | 
            +
                  "step": 4500
         | 
| 97 | 
            +
                },
         | 
| 98 | 
            +
                {
         | 
| 99 | 
            +
                  "epoch": 1.3892747985551543,
         | 
| 100 | 
            +
                  "grad_norm": 1.179303526878357,
         | 
| 101 | 
            +
                  "learning_rate": 0.0007537186255441327,
         | 
| 102 | 
            +
                  "loss": 0.2448,
         | 
| 103 | 
            +
                  "step": 5000
         | 
| 104 | 
            +
                },
         | 
| 105 | 
            +
                {
         | 
| 106 | 
            +
                  "epoch": 1.5282022784106695,
         | 
| 107 | 
            +
                  "grad_norm": 0.9045144319534302,
         | 
| 108 | 
            +
                  "learning_rate": 0.0007490877095489488,
         | 
| 109 | 
            +
                  "loss": 0.2389,
         | 
| 110 | 
            +
                  "step": 5500
         | 
| 111 | 
            +
                },
         | 
| 112 | 
            +
                {
         | 
| 113 | 
            +
                  "epoch": 1.6004445679355377,
         | 
| 114 | 
            +
                  "eval_loss": 0.25695353746414185,
         | 
| 115 | 
            +
                  "eval_runtime": 5.6542,
         | 
| 116 | 
            +
                  "eval_samples_per_second": 88.43,
         | 
| 117 | 
            +
                  "eval_steps_per_second": 5.66,
         | 
| 118 | 
            +
                  "step": 5760
         | 
| 119 | 
            +
                },
         | 
| 120 | 
            +
                {
         | 
| 121 | 
            +
                  "epoch": 1.667129758266185,
         | 
| 122 | 
            +
                  "grad_norm": 0.6623045206069946,
         | 
| 123 | 
            +
                  "learning_rate": 0.0007444660553857554,
         | 
| 124 | 
            +
                  "loss": 0.2409,
         | 
| 125 | 
            +
                  "step": 6000
         | 
| 126 | 
            +
                },
         | 
| 127 | 
            +
                {
         | 
| 128 | 
            +
                  "epoch": 1.8060572381217006,
         | 
| 129 | 
            +
                  "grad_norm": 0.6902622580528259,
         | 
| 130 | 
            +
                  "learning_rate": 0.0007398351393905715,
         | 
| 131 | 
            +
                  "loss": 0.234,
         | 
| 132 | 
            +
                  "step": 6500
         | 
| 133 | 
            +
                },
         | 
| 134 | 
            +
                {
         | 
| 135 | 
            +
                  "epoch": 1.9449847179772157,
         | 
| 136 | 
            +
                  "grad_norm": 0.7465945482254028,
         | 
| 137 | 
            +
                  "learning_rate": 0.0007352042233953876,
         | 
| 138 | 
            +
                  "loss": 0.2342,
         | 
| 139 | 
            +
                  "step": 7000
         | 
| 140 | 
            +
                },
         | 
| 141 | 
            +
                {
         | 
| 142 | 
            +
                  "epoch": 2.000555709919422,
         | 
| 143 | 
            +
                  "eval_loss": 0.25181135535240173,
         | 
| 144 | 
            +
                  "eval_runtime": 5.6993,
         | 
| 145 | 
            +
                  "eval_samples_per_second": 87.731,
         | 
| 146 | 
            +
                  "eval_steps_per_second": 5.615,
         | 
| 147 | 
            +
                  "step": 7200
         | 
| 148 | 
            +
                },
         | 
| 149 | 
            +
                {
         | 
| 150 | 
            +
                  "epoch": 2.0839121978327313,
         | 
| 151 | 
            +
                  "grad_norm": 0.7666770219802856,
         | 
| 152 | 
            +
                  "learning_rate": 0.0007305825692321942,
         | 
| 153 | 
            +
                  "loss": 0.226,
         | 
| 154 | 
            +
                  "step": 7500
         | 
| 155 | 
            +
                },
         | 
| 156 | 
            +
                {
         | 
| 157 | 
            +
                  "epoch": 2.222839677688247,
         | 
| 158 | 
            +
                  "grad_norm": 0.6436336636543274,
         | 
| 159 | 
            +
                  "learning_rate": 0.0007259516532370103,
         | 
| 160 | 
            +
                  "loss": 0.2247,
         | 
| 161 | 
            +
                  "step": 8000
         | 
| 162 | 
            +
                },
         | 
| 163 | 
            +
                {
         | 
| 164 | 
            +
                  "epoch": 2.361767157543762,
         | 
| 165 | 
            +
                  "grad_norm": 0.6064488291740417,
         | 
| 166 | 
            +
                  "learning_rate": 0.0007213207372418264,
         | 
| 167 | 
            +
                  "loss": 0.2237,
         | 
| 168 | 
            +
                  "step": 8500
         | 
| 169 | 
            +
                },
         | 
| 170 | 
            +
                {
         | 
| 171 | 
            +
                  "epoch": 2.4006668519033063,
         | 
| 172 | 
            +
                  "eval_loss": 0.24924051761627197,
         | 
| 173 | 
            +
                  "eval_runtime": 5.9651,
         | 
| 174 | 
            +
                  "eval_samples_per_second": 83.821,
         | 
| 175 | 
            +
                  "eval_steps_per_second": 5.365,
         | 
| 176 | 
            +
                  "step": 8640
         | 
| 177 | 
            +
                },
         | 
| 178 | 
            +
                {
         | 
| 179 | 
            +
                  "epoch": 2.5006946373992776,
         | 
| 180 | 
            +
                  "grad_norm": 1.0091792345046997,
         | 
| 181 | 
            +
                  "learning_rate": 0.0007166898212466426,
         | 
| 182 | 
            +
                  "loss": 0.2203,
         | 
| 183 | 
            +
                  "step": 9000
         | 
| 184 | 
            +
                },
         | 
| 185 | 
            +
                {
         | 
| 186 | 
            +
                  "epoch": 2.639622117254793,
         | 
| 187 | 
            +
                  "grad_norm": 0.8089786767959595,
         | 
| 188 | 
            +
                  "learning_rate": 0.0007120589052514588,
         | 
| 189 | 
            +
                  "loss": 0.2196,
         | 
| 190 | 
            +
                  "step": 9500
         | 
| 191 | 
            +
                },
         | 
| 192 | 
            +
                {
         | 
| 193 | 
            +
                  "epoch": 2.7785495971103087,
         | 
| 194 | 
            +
                  "grad_norm": 0.5441291928291321,
         | 
| 195 | 
            +
                  "learning_rate": 0.0007074372510882653,
         | 
| 196 | 
            +
                  "loss": 0.2216,
         | 
| 197 | 
            +
                  "step": 10000
         | 
| 198 | 
            +
                },
         | 
| 199 | 
            +
                {
         | 
| 200 | 
            +
                  "epoch": 2.800777993887191,
         | 
| 201 | 
            +
                  "eval_loss": 0.2379860281944275,
         | 
| 202 | 
            +
                  "eval_runtime": 5.6823,
         | 
| 203 | 
            +
                  "eval_samples_per_second": 87.992,
         | 
| 204 | 
            +
                  "eval_steps_per_second": 5.632,
         | 
| 205 | 
            +
                  "step": 10080
         | 
| 206 | 
            +
                },
         | 
| 207 | 
            +
                {
         | 
| 208 | 
            +
                  "epoch": 2.917477076965824,
         | 
| 209 | 
            +
                  "grad_norm": 0.5629907250404358,
         | 
| 210 | 
            +
                  "learning_rate": 0.0007028063350930814,
         | 
| 211 | 
            +
                  "loss": 0.2209,
         | 
| 212 | 
            +
                  "step": 10500
         | 
| 213 | 
            +
                },
         | 
| 214 | 
            +
                {
         | 
| 215 | 
            +
                  "epoch": 3.0564045568213394,
         | 
| 216 | 
            +
                  "grad_norm": 0.7793105840682983,
         | 
| 217 | 
            +
                  "learning_rate": 0.0006981754190978975,
         | 
| 218 | 
            +
                  "loss": 0.2153,
         | 
| 219 | 
            +
                  "step": 11000
         | 
| 220 | 
            +
                },
         | 
| 221 | 
            +
                {
         | 
| 222 | 
            +
                  "epoch": 3.1953320366768545,
         | 
| 223 | 
            +
                  "grad_norm": 0.5668399333953857,
         | 
| 224 | 
            +
                  "learning_rate": 0.0006935445031027137,
         | 
| 225 | 
            +
                  "loss": 0.2104,
         | 
| 226 | 
            +
                  "step": 11500
         | 
| 227 | 
            +
                },
         | 
| 228 | 
            +
                {
         | 
| 229 | 
            +
                  "epoch": 3.2008891358710754,
         | 
| 230 | 
            +
                  "eval_loss": 0.23175135254859924,
         | 
| 231 | 
            +
                  "eval_runtime": 5.6868,
         | 
| 232 | 
            +
                  "eval_samples_per_second": 87.922,
         | 
| 233 | 
            +
                  "eval_steps_per_second": 5.627,
         | 
| 234 | 
            +
                  "step": 11520
         | 
| 235 | 
            +
                },
         | 
| 236 | 
            +
                {
         | 
| 237 | 
            +
                  "epoch": 3.33425951653237,
         | 
| 238 | 
            +
                  "grad_norm": 0.8093000650405884,
         | 
| 239 | 
            +
                  "learning_rate": 0.0006889228489395203,
         | 
| 240 | 
            +
                  "loss": 0.2136,
         | 
| 241 | 
            +
                  "step": 12000
         | 
| 242 | 
            +
                },
         | 
| 243 | 
            +
                {
         | 
| 244 | 
            +
                  "epoch": 3.4731869963878856,
         | 
| 245 | 
            +
                  "grad_norm": 0.9104741215705872,
         | 
| 246 | 
            +
                  "learning_rate": 0.0006842919329443364,
         | 
| 247 | 
            +
                  "loss": 0.2076,
         | 
| 248 | 
            +
                  "step": 12500
         | 
| 249 | 
            +
                },
         | 
| 250 | 
            +
                {
         | 
| 251 | 
            +
                  "epoch": 3.6010002778549595,
         | 
| 252 | 
            +
                  "eval_loss": 0.22807475924491882,
         | 
| 253 | 
            +
                  "eval_runtime": 5.7081,
         | 
| 254 | 
            +
                  "eval_samples_per_second": 87.595,
         | 
| 255 | 
            +
                  "eval_steps_per_second": 5.606,
         | 
| 256 | 
            +
                  "step": 12960
         | 
| 257 | 
            +
                },
         | 
| 258 | 
            +
                {
         | 
| 259 | 
            +
                  "epoch": 3.612114476243401,
         | 
| 260 | 
            +
                  "grad_norm": 0.688875675201416,
         | 
| 261 | 
            +
                  "learning_rate": 0.0006796610169491525,
         | 
| 262 | 
            +
                  "loss": 0.2109,
         | 
| 263 | 
            +
                  "step": 13000
         | 
| 264 | 
            +
                },
         | 
| 265 | 
            +
                {
         | 
| 266 | 
            +
                  "epoch": 3.7510419560989163,
         | 
| 267 | 
            +
                  "grad_norm": 0.985016405582428,
         | 
| 268 | 
            +
                  "learning_rate": 0.0006750301009539687,
         | 
| 269 | 
            +
                  "loss": 0.209,
         | 
| 270 | 
            +
                  "step": 13500
         | 
| 271 | 
            +
                },
         | 
| 272 | 
            +
                {
         | 
| 273 | 
            +
                  "epoch": 3.889969435954432,
         | 
| 274 | 
            +
                  "grad_norm": 0.792914628982544,
         | 
| 275 | 
            +
                  "learning_rate": 0.0006703991849587848,
         | 
| 276 | 
            +
                  "loss": 0.2087,
         | 
| 277 | 
            +
                  "step": 14000
         | 
| 278 | 
            +
                },
         | 
| 279 | 
            +
                {
         | 
| 280 | 
            +
                  "epoch": 4.001111419838844,
         | 
| 281 | 
            +
                  "eval_loss": 0.2299247533082962,
         | 
| 282 | 
            +
                  "eval_runtime": 5.9644,
         | 
| 283 | 
            +
                  "eval_samples_per_second": 83.831,
         | 
| 284 | 
            +
                  "eval_steps_per_second": 5.365,
         | 
| 285 | 
            +
                  "step": 14400
         | 
| 286 | 
            +
                },
         | 
| 287 | 
            +
                {
         | 
| 288 | 
            +
                  "epoch": 4.0288969158099475,
         | 
| 289 | 
            +
                  "grad_norm": 0.8050146698951721,
         | 
| 290 | 
            +
                  "learning_rate": 0.000665768268963601,
         | 
| 291 | 
            +
                  "loss": 0.2043,
         | 
| 292 | 
            +
                  "step": 14500
         | 
| 293 | 
            +
                },
         | 
| 294 | 
            +
                {
         | 
| 295 | 
            +
                  "epoch": 4.167824395665463,
         | 
| 296 | 
            +
                  "grad_norm": 0.6686243414878845,
         | 
| 297 | 
            +
                  "learning_rate": 0.0006611373529684172,
         | 
| 298 | 
            +
                  "loss": 0.1997,
         | 
| 299 | 
            +
                  "step": 15000
         | 
| 300 | 
            +
                },
         | 
| 301 | 
            +
                {
         | 
| 302 | 
            +
                  "epoch": 4.306751875520978,
         | 
| 303 | 
            +
                  "grad_norm": 0.5832377076148987,
         | 
| 304 | 
            +
                  "learning_rate": 0.0006565064369732334,
         | 
| 305 | 
            +
                  "loss": 0.2011,
         | 
| 306 | 
            +
                  "step": 15500
         | 
| 307 | 
            +
                },
         | 
| 308 | 
            +
                {
         | 
| 309 | 
            +
                  "epoch": 4.4012225618227285,
         | 
| 310 | 
            +
                  "eval_loss": 0.22105582058429718,
         | 
| 311 | 
            +
                  "eval_runtime": 5.6811,
         | 
| 312 | 
            +
                  "eval_samples_per_second": 88.011,
         | 
| 313 | 
            +
                  "eval_steps_per_second": 5.633,
         | 
| 314 | 
            +
                  "step": 15840
         | 
| 315 | 
            +
                },
         | 
| 316 | 
            +
                {
         | 
| 317 | 
            +
                  "epoch": 4.445679355376494,
         | 
| 318 | 
            +
                  "grad_norm": 0.5768308639526367,
         | 
| 319 | 
            +
                  "learning_rate": 0.0006518847828100398,
         | 
| 320 | 
            +
                  "loss": 0.2029,
         | 
| 321 | 
            +
                  "step": 16000
         | 
| 322 | 
            +
                },
         | 
| 323 | 
            +
                {
         | 
| 324 | 
            +
                  "epoch": 4.584606835232009,
         | 
| 325 | 
            +
                  "grad_norm": 0.7500970959663391,
         | 
| 326 | 
            +
                  "learning_rate": 0.000647253866814856,
         | 
| 327 | 
            +
                  "loss": 0.1985,
         | 
| 328 | 
            +
                  "step": 16500
         | 
| 329 | 
            +
                },
         | 
| 330 | 
            +
                {
         | 
| 331 | 
            +
                  "epoch": 4.723534315087524,
         | 
| 332 | 
            +
                  "grad_norm": 0.7904524207115173,
         | 
| 333 | 
            +
                  "learning_rate": 0.0006426322126516625,
         | 
| 334 | 
            +
                  "loss": 0.199,
         | 
| 335 | 
            +
                  "step": 17000
         | 
| 336 | 
            +
                },
         | 
| 337 | 
            +
                {
         | 
| 338 | 
            +
                  "epoch": 4.801333703806613,
         | 
| 339 | 
            +
                  "eval_loss": 0.2192094475030899,
         | 
| 340 | 
            +
                  "eval_runtime": 5.6808,
         | 
| 341 | 
            +
                  "eval_samples_per_second": 88.016,
         | 
| 342 | 
            +
                  "eval_steps_per_second": 5.633,
         | 
| 343 | 
            +
                  "step": 17280
         | 
| 344 | 
            +
                },
         | 
| 345 | 
            +
                {
         | 
| 346 | 
            +
                  "epoch": 4.86246179494304,
         | 
| 347 | 
            +
                  "grad_norm": 0.539150059223175,
         | 
| 348 | 
            +
                  "learning_rate": 0.0006380012966564787,
         | 
| 349 | 
            +
                  "loss": 0.2009,
         | 
| 350 | 
            +
                  "step": 17500
         | 
| 351 | 
            +
                },
         | 
| 352 | 
            +
                {
         | 
| 353 | 
            +
                  "epoch": 5.001389274798555,
         | 
| 354 | 
            +
                  "grad_norm": 0.8565651178359985,
         | 
| 355 | 
            +
                  "learning_rate": 0.0006333703806612948,
         | 
| 356 | 
            +
                  "loss": 0.1971,
         | 
| 357 | 
            +
                  "step": 18000
         | 
| 358 | 
            +
                },
         | 
| 359 | 
            +
                {
         | 
| 360 | 
            +
                  "epoch": 5.14031675465407,
         | 
| 361 | 
            +
                  "grad_norm": 0.7713454365730286,
         | 
| 362 | 
            +
                  "learning_rate": 0.0006287394646661109,
         | 
| 363 | 
            +
                  "loss": 0.1893,
         | 
| 364 | 
            +
                  "step": 18500
         | 
| 365 | 
            +
                },
         | 
| 366 | 
            +
                {
         | 
| 367 | 
            +
                  "epoch": 5.201444845790498,
         | 
| 368 | 
            +
                  "eval_loss": 0.21168488264083862,
         | 
| 369 | 
            +
                  "eval_runtime": 5.6835,
         | 
| 370 | 
            +
                  "eval_samples_per_second": 87.974,
         | 
| 371 | 
            +
                  "eval_steps_per_second": 5.63,
         | 
| 372 | 
            +
                  "step": 18720
         | 
| 373 | 
            +
                },
         | 
| 374 | 
            +
                {
         | 
| 375 | 
            +
                  "epoch": 5.279244234509586,
         | 
| 376 | 
            +
                  "grad_norm": 0.6991382241249084,
         | 
| 377 | 
            +
                  "learning_rate": 0.0006241085486709271,
         | 
| 378 | 
            +
                  "loss": 0.1893,
         | 
| 379 | 
            +
                  "step": 19000
         | 
| 380 | 
            +
                },
         | 
| 381 | 
            +
                {
         | 
| 382 | 
            +
                  "epoch": 5.418171714365101,
         | 
| 383 | 
            +
                  "grad_norm": 0.8312591314315796,
         | 
| 384 | 
            +
                  "learning_rate": 0.0006194776326757433,
         | 
| 385 | 
            +
                  "loss": 0.1922,
         | 
| 386 | 
            +
                  "step": 19500
         | 
| 387 | 
            +
                },
         | 
| 388 | 
            +
                {
         | 
| 389 | 
            +
                  "epoch": 5.5570991942206165,
         | 
| 390 | 
            +
                  "grad_norm": 0.5211935043334961,
         | 
| 391 | 
            +
                  "learning_rate": 0.0006148467166805595,
         | 
| 392 | 
            +
                  "loss": 0.1935,
         | 
| 393 | 
            +
                  "step": 20000
         | 
| 394 | 
            +
                },
         | 
| 395 | 
            +
                {
         | 
| 396 | 
            +
                  "epoch": 5.601555987774382,
         | 
| 397 | 
            +
                  "eval_loss": 0.21850116550922394,
         | 
| 398 | 
            +
                  "eval_runtime": 5.755,
         | 
| 399 | 
            +
                  "eval_samples_per_second": 86.881,
         | 
| 400 | 
            +
                  "eval_steps_per_second": 5.56,
         | 
| 401 | 
            +
                  "step": 20160
         | 
| 402 | 
            +
                },
         | 
| 403 | 
            +
                {
         | 
| 404 | 
            +
                  "epoch": 5.6960266740761325,
         | 
| 405 | 
            +
                  "grad_norm": 0.6599379777908325,
         | 
| 406 | 
            +
                  "learning_rate": 0.000610225062517366,
         | 
| 407 | 
            +
                  "loss": 0.1926,
         | 
| 408 | 
            +
                  "step": 20500
         | 
| 409 | 
            +
                },
         | 
| 410 | 
            +
                {
         | 
| 411 | 
            +
                  "epoch": 5.834954153931648,
         | 
| 412 | 
            +
                  "grad_norm": 0.5970427393913269,
         | 
| 413 | 
            +
                  "learning_rate": 0.0006055941465221821,
         | 
| 414 | 
            +
                  "loss": 0.1909,
         | 
| 415 | 
            +
                  "step": 21000
         | 
| 416 | 
            +
                },
         | 
| 417 | 
            +
                {
         | 
| 418 | 
            +
                  "epoch": 5.973881633787163,
         | 
| 419 | 
            +
                  "grad_norm": 1.023311734199524,
         | 
| 420 | 
            +
                  "learning_rate": 0.0006009632305269982,
         | 
| 421 | 
            +
                  "loss": 0.1895,
         | 
| 422 | 
            +
                  "step": 21500
         | 
| 423 | 
            +
                },
         | 
| 424 | 
            +
                {
         | 
| 425 | 
            +
                  "epoch": 6.001667129758266,
         | 
| 426 | 
            +
                  "eval_loss": 0.207980215549469,
         | 
| 427 | 
            +
                  "eval_runtime": 5.7482,
         | 
| 428 | 
            +
                  "eval_samples_per_second": 86.984,
         | 
| 429 | 
            +
                  "eval_steps_per_second": 5.567,
         | 
| 430 | 
            +
                  "step": 21600
         | 
| 431 | 
            +
                },
         | 
| 432 | 
            +
                {
         | 
| 433 | 
            +
                  "epoch": 6.112809113642679,
         | 
| 434 | 
            +
                  "grad_norm": 0.91774582862854,
         | 
| 435 | 
            +
                  "learning_rate": 0.0005963323145318144,
         | 
| 436 | 
            +
                  "loss": 0.1816,
         | 
| 437 | 
            +
                  "step": 22000
         | 
| 438 | 
            +
                },
         | 
| 439 | 
            +
                {
         | 
| 440 | 
            +
                  "epoch": 6.251736593498194,
         | 
| 441 | 
            +
                  "grad_norm": 1.0004245042800903,
         | 
| 442 | 
            +
                  "learning_rate": 0.0005917013985366306,
         | 
| 443 | 
            +
                  "loss": 0.1851,
         | 
| 444 | 
            +
                  "step": 22500
         | 
| 445 | 
            +
                },
         | 
| 446 | 
            +
                {
         | 
| 447 | 
            +
                  "epoch": 6.390664073353709,
         | 
| 448 | 
            +
                  "grad_norm": 0.662783145904541,
         | 
| 449 | 
            +
                  "learning_rate": 0.0005870704825414468,
         | 
| 450 | 
            +
                  "loss": 0.1841,
         | 
| 451 | 
            +
                  "step": 23000
         | 
| 452 | 
            +
                },
         | 
| 453 | 
            +
                {
         | 
| 454 | 
            +
                  "epoch": 6.401778271742151,
         | 
| 455 | 
            +
                  "eval_loss": 0.20145055651664734,
         | 
| 456 | 
            +
                  "eval_runtime": 5.7129,
         | 
| 457 | 
            +
                  "eval_samples_per_second": 87.521,
         | 
| 458 | 
            +
                  "eval_steps_per_second": 5.601,
         | 
| 459 | 
            +
                  "step": 23040
         | 
| 460 | 
            +
                },
         | 
| 461 | 
            +
                {
         | 
| 462 | 
            +
                  "epoch": 6.529591553209225,
         | 
| 463 | 
            +
                  "grad_norm": 0.7809537053108215,
         | 
| 464 | 
            +
                  "learning_rate": 0.0005824395665462628,
         | 
| 465 | 
            +
                  "loss": 0.1818,
         | 
| 466 | 
            +
                  "step": 23500
         | 
| 467 | 
            +
                },
         | 
| 468 | 
            +
                {
         | 
| 469 | 
            +
                  "epoch": 6.66851903306474,
         | 
| 470 | 
            +
                  "grad_norm": 0.7120875120162964,
         | 
| 471 | 
            +
                  "learning_rate": 0.000577808650551079,
         | 
| 472 | 
            +
                  "loss": 0.184,
         | 
| 473 | 
            +
                  "step": 24000
         | 
| 474 | 
            +
                },
         | 
| 475 | 
            +
                {
         | 
| 476 | 
            +
                  "epoch": 6.801889413726035,
         | 
| 477 | 
            +
                  "eval_loss": 0.20286568999290466,
         | 
| 478 | 
            +
                  "eval_runtime": 5.6944,
         | 
| 479 | 
            +
                  "eval_samples_per_second": 87.805,
         | 
| 480 | 
            +
                  "eval_steps_per_second": 5.62,
         | 
| 481 | 
            +
                  "step": 24480
         | 
| 482 | 
            +
                },
         | 
| 483 | 
            +
                {
         | 
| 484 | 
            +
                  "epoch": 6.807446512920255,
         | 
| 485 | 
            +
                  "grad_norm": 0.6878994107246399,
         | 
| 486 | 
            +
                  "learning_rate": 0.0005731869963878856,
         | 
| 487 | 
            +
                  "loss": 0.1837,
         | 
| 488 | 
            +
                  "step": 24500
         | 
| 489 | 
            +
                },
         | 
| 490 | 
            +
                {
         | 
| 491 | 
            +
                  "epoch": 6.946373992775771,
         | 
| 492 | 
            +
                  "grad_norm": 1.3410155773162842,
         | 
| 493 | 
            +
                  "learning_rate": 0.0005685560803927017,
         | 
| 494 | 
            +
                  "loss": 0.181,
         | 
| 495 | 
            +
                  "step": 25000
         | 
| 496 | 
            +
                },
         | 
| 497 | 
            +
                {
         | 
| 498 | 
            +
                  "epoch": 7.085301472631286,
         | 
| 499 | 
            +
                  "grad_norm": 0.7791838049888611,
         | 
| 500 | 
            +
                  "learning_rate": 0.0005639344262295083,
         | 
| 501 | 
            +
                  "loss": 0.1755,
         | 
| 502 | 
            +
                  "step": 25500
         | 
| 503 | 
            +
                },
         | 
| 504 | 
            +
                {
         | 
| 505 | 
            +
                  "epoch": 7.20200055570992,
         | 
| 506 | 
            +
                  "eval_loss": 0.2010478526353836,
         | 
| 507 | 
            +
                  "eval_runtime": 5.7186,
         | 
| 508 | 
            +
                  "eval_samples_per_second": 87.434,
         | 
| 509 | 
            +
                  "eval_steps_per_second": 5.596,
         | 
| 510 | 
            +
                  "step": 25920
         | 
| 511 | 
            +
                },
         | 
| 512 | 
            +
                {
         | 
| 513 | 
            +
                  "epoch": 7.2242289524868015,
         | 
| 514 | 
            +
                  "grad_norm": 1.0793170928955078,
         | 
| 515 | 
            +
                  "learning_rate": 0.0005593035102343244,
         | 
| 516 | 
            +
                  "loss": 0.1728,
         | 
| 517 | 
            +
                  "step": 26000
         | 
| 518 | 
            +
                },
         | 
| 519 | 
            +
                {
         | 
| 520 | 
            +
                  "epoch": 7.3631564323423175,
         | 
| 521 | 
            +
                  "grad_norm": 0.901263415813446,
         | 
| 522 | 
            +
                  "learning_rate": 0.0005546725942391405,
         | 
| 523 | 
            +
                  "loss": 0.1761,
         | 
| 524 | 
            +
                  "step": 26500
         | 
| 525 | 
            +
                },
         | 
| 526 | 
            +
                {
         | 
| 527 | 
            +
                  "epoch": 7.502083912197833,
         | 
| 528 | 
            +
                  "grad_norm": 0.5980243682861328,
         | 
| 529 | 
            +
                  "learning_rate": 0.0005500416782439567,
         | 
| 530 | 
            +
                  "loss": 0.1762,
         | 
| 531 | 
            +
                  "step": 27000
         | 
| 532 | 
            +
                },
         | 
| 533 | 
            +
                {
         | 
| 534 | 
            +
                  "epoch": 7.602111697693804,
         | 
| 535 | 
            +
                  "eval_loss": 0.2034424990415573,
         | 
| 536 | 
            +
                  "eval_runtime": 5.7241,
         | 
| 537 | 
            +
                  "eval_samples_per_second": 87.35,
         | 
| 538 | 
            +
                  "eval_steps_per_second": 5.59,
         | 
| 539 | 
            +
                  "step": 27360
         | 
| 540 | 
            +
                },
         | 
| 541 | 
            +
                {
         | 
| 542 | 
            +
                  "epoch": 7.641011392053348,
         | 
| 543 | 
            +
                  "grad_norm": 0.7678053975105286,
         | 
| 544 | 
            +
                  "learning_rate": 0.0005454200240807632,
         | 
| 545 | 
            +
                  "loss": 0.1754,
         | 
| 546 | 
            +
                  "step": 27500
         | 
| 547 | 
            +
                },
         | 
| 548 | 
            +
                {
         | 
| 549 | 
            +
                  "epoch": 7.779938871908864,
         | 
| 550 | 
            +
                  "grad_norm": 0.626030683517456,
         | 
| 551 | 
            +
                  "learning_rate": 0.0005407891080855794,
         | 
| 552 | 
            +
                  "loss": 0.1741,
         | 
| 553 | 
            +
                  "step": 28000
         | 
| 554 | 
            +
                },
         | 
| 555 | 
            +
                {
         | 
| 556 | 
            +
                  "epoch": 7.918866351764379,
         | 
| 557 | 
            +
                  "grad_norm": 0.6907975673675537,
         | 
| 558 | 
            +
                  "learning_rate": 0.0005361581920903956,
         | 
| 559 | 
            +
                  "loss": 0.1775,
         | 
| 560 | 
            +
                  "step": 28500
         | 
| 561 | 
            +
                },
         | 
| 562 | 
            +
                {
         | 
| 563 | 
            +
                  "epoch": 8.002222839677689,
         | 
| 564 | 
            +
                  "eval_loss": 0.19579829275608063,
         | 
| 565 | 
            +
                  "eval_runtime": 5.7531,
         | 
| 566 | 
            +
                  "eval_samples_per_second": 86.91,
         | 
| 567 | 
            +
                  "eval_steps_per_second": 5.562,
         | 
| 568 | 
            +
                  "step": 28800
         | 
| 569 | 
            +
                },
         | 
| 570 | 
            +
                {
         | 
| 571 | 
            +
                  "epoch": 8.057793831619895,
         | 
| 572 | 
            +
                  "grad_norm": 0.8500244617462158,
         | 
| 573 | 
            +
                  "learning_rate": 0.000531536537927202,
         | 
| 574 | 
            +
                  "loss": 0.1707,
         | 
| 575 | 
            +
                  "step": 29000
         | 
| 576 | 
            +
                },
         | 
| 577 | 
            +
                {
         | 
| 578 | 
            +
                  "epoch": 8.19672131147541,
         | 
| 579 | 
            +
                  "grad_norm": 1.2416728734970093,
         | 
| 580 | 
            +
                  "learning_rate": 0.0005269056219320182,
         | 
| 581 | 
            +
                  "loss": 0.1674,
         | 
| 582 | 
            +
                  "step": 29500
         | 
| 583 | 
            +
                },
         | 
| 584 | 
            +
                {
         | 
| 585 | 
            +
                  "epoch": 8.335648791330925,
         | 
| 586 | 
            +
                  "grad_norm": 0.7363243103027344,
         | 
| 587 | 
            +
                  "learning_rate": 0.0005222747059368344,
         | 
| 588 | 
            +
                  "loss": 0.1666,
         | 
| 589 | 
            +
                  "step": 30000
         | 
| 590 | 
            +
                },
         | 
| 591 | 
            +
                {
         | 
| 592 | 
            +
                  "epoch": 8.402333981661572,
         | 
| 593 | 
            +
                  "eval_loss": 0.19788900017738342,
         | 
| 594 | 
            +
                  "eval_runtime": 5.7008,
         | 
| 595 | 
            +
                  "eval_samples_per_second": 87.706,
         | 
| 596 | 
            +
                  "eval_steps_per_second": 5.613,
         | 
| 597 | 
            +
                  "step": 30240
         | 
| 598 | 
            +
                },
         | 
| 599 | 
            +
                {
         | 
| 600 | 
            +
                  "epoch": 8.474576271186441,
         | 
| 601 | 
            +
                  "grad_norm": 0.8667612671852112,
         | 
| 602 | 
            +
                  "learning_rate": 0.0005176437899416505,
         | 
| 603 | 
            +
                  "loss": 0.1681,
         | 
| 604 | 
            +
                  "step": 30500
         | 
| 605 | 
            +
                },
         | 
| 606 | 
            +
                {
         | 
| 607 | 
            +
                  "epoch": 8.613503751041955,
         | 
| 608 | 
            +
                  "grad_norm": 0.7073860168457031,
         | 
| 609 | 
            +
                  "learning_rate": 0.0005130128739464667,
         | 
| 610 | 
            +
                  "loss": 0.1706,
         | 
| 611 | 
            +
                  "step": 31000
         | 
| 612 | 
            +
                },
         | 
| 613 | 
            +
                {
         | 
| 614 | 
            +
                  "epoch": 8.752431230897471,
         | 
| 615 | 
            +
                  "grad_norm": 0.813298761844635,
         | 
| 616 | 
            +
                  "learning_rate": 0.0005083819579512828,
         | 
| 617 | 
            +
                  "loss": 0.1673,
         | 
| 618 | 
            +
                  "step": 31500
         | 
| 619 | 
            +
                },
         | 
| 620 | 
            +
                {
         | 
| 621 | 
            +
                  "epoch": 8.802445123645457,
         | 
| 622 | 
            +
                  "eval_loss": 0.2012454718351364,
         | 
| 623 | 
            +
                  "eval_runtime": 6.7505,
         | 
| 624 | 
            +
                  "eval_samples_per_second": 74.068,
         | 
| 625 | 
            +
                  "eval_steps_per_second": 4.74,
         | 
| 626 | 
            +
                  "step": 31680
         | 
| 627 | 
            +
                },
         | 
| 628 | 
            +
                {
         | 
| 629 | 
            +
                  "epoch": 8.891358710752987,
         | 
| 630 | 
            +
                  "grad_norm": 0.8721699118614197,
         | 
| 631 | 
            +
                  "learning_rate": 0.000503751041956099,
         | 
| 632 | 
            +
                  "loss": 0.1683,
         | 
| 633 | 
            +
                  "step": 32000
         | 
| 634 | 
            +
                },
         | 
| 635 | 
            +
                {
         | 
| 636 | 
            +
                  "epoch": 9.030286190608502,
         | 
| 637 | 
            +
                  "grad_norm": 0.7278200387954712,
         | 
| 638 | 
            +
                  "learning_rate": 0.000499120125960915,
         | 
| 639 | 
            +
                  "loss": 0.1661,
         | 
| 640 | 
            +
                  "step": 32500
         | 
| 641 | 
            +
                },
         | 
| 642 | 
            +
                {
         | 
| 643 | 
            +
                  "epoch": 9.169213670464018,
         | 
| 644 | 
            +
                  "grad_norm": 0.9835706949234009,
         | 
| 645 | 
            +
                  "learning_rate": 0.0004944984717977217,
         | 
| 646 | 
            +
                  "loss": 0.1606,
         | 
| 647 | 
            +
                  "step": 33000
         | 
| 648 | 
            +
                },
         | 
| 649 | 
            +
                {
         | 
| 650 | 
            +
                  "epoch": 9.202556265629342,
         | 
| 651 | 
            +
                  "eval_loss": 0.19326406717300415,
         | 
| 652 | 
            +
                  "eval_runtime": 5.7204,
         | 
| 653 | 
            +
                  "eval_samples_per_second": 87.406,
         | 
| 654 | 
            +
                  "eval_steps_per_second": 5.594,
         | 
| 655 | 
            +
                  "step": 33120
         | 
| 656 | 
            +
                },
         | 
| 657 | 
            +
                {
         | 
| 658 | 
            +
                  "epoch": 9.308141150319534,
         | 
| 659 | 
            +
                  "grad_norm": 0.7659234404563904,
         | 
| 660 | 
            +
                  "learning_rate": 0.0004898675558025378,
         | 
| 661 | 
            +
                  "loss": 0.1592,
         | 
| 662 | 
            +
                  "step": 33500
         | 
| 663 | 
            +
                },
         | 
| 664 | 
            +
                {
         | 
| 665 | 
            +
                  "epoch": 9.447068630175048,
         | 
| 666 | 
            +
                  "grad_norm": 0.8680823445320129,
         | 
| 667 | 
            +
                  "learning_rate": 0.00048523663980735385,
         | 
| 668 | 
            +
                  "loss": 0.1609,
         | 
| 669 | 
            +
                  "step": 34000
         | 
| 670 | 
            +
                },
         | 
| 671 | 
            +
                {
         | 
| 672 | 
            +
                  "epoch": 9.585996110030564,
         | 
| 673 | 
            +
                  "grad_norm": 0.7252190709114075,
         | 
| 674 | 
            +
                  "learning_rate": 0.00048060572381217003,
         | 
| 675 | 
            +
                  "loss": 0.1629,
         | 
| 676 | 
            +
                  "step": 34500
         | 
| 677 | 
            +
                },
         | 
| 678 | 
            +
                {
         | 
| 679 | 
            +
                  "epoch": 9.602667407613225,
         | 
| 680 | 
            +
                  "eval_loss": 0.18949145078659058,
         | 
| 681 | 
            +
                  "eval_runtime": 5.6933,
         | 
| 682 | 
            +
                  "eval_samples_per_second": 87.822,
         | 
| 683 | 
            +
                  "eval_steps_per_second": 5.621,
         | 
| 684 | 
            +
                  "step": 34560
         | 
| 685 | 
            +
                },
         | 
| 686 | 
            +
                {
         | 
| 687 | 
            +
                  "epoch": 9.72492358988608,
         | 
| 688 | 
            +
                  "grad_norm": 0.787493884563446,
         | 
| 689 | 
            +
                  "learning_rate": 0.0004759748078169862,
         | 
| 690 | 
            +
                  "loss": 0.162,
         | 
| 691 | 
            +
                  "step": 35000
         | 
| 692 | 
            +
                },
         | 
| 693 | 
            +
                {
         | 
| 694 | 
            +
                  "epoch": 9.863851069741594,
         | 
| 695 | 
            +
                  "grad_norm": 0.7298120856285095,
         | 
| 696 | 
            +
                  "learning_rate": 0.0004713438918218024,
         | 
| 697 | 
            +
                  "loss": 0.1628,
         | 
| 698 | 
            +
                  "step": 35500
         | 
| 699 | 
            +
                },
         | 
| 700 | 
            +
                {
         | 
| 701 | 
            +
                  "epoch": 10.00277854959711,
         | 
| 702 | 
            +
                  "grad_norm": 0.9931182861328125,
         | 
| 703 | 
            +
                  "learning_rate": 0.00046672223765860887,
         | 
| 704 | 
            +
                  "loss": 0.1596,
         | 
| 705 | 
            +
                  "step": 36000
         | 
| 706 | 
            +
                },
         | 
| 707 | 
            +
                {
         | 
| 708 | 
            +
                  "epoch": 10.00277854959711,
         | 
| 709 | 
            +
                  "eval_loss": 0.1884983777999878,
         | 
| 710 | 
            +
                  "eval_runtime": 5.7787,
         | 
| 711 | 
            +
                  "eval_samples_per_second": 86.525,
         | 
| 712 | 
            +
                  "eval_steps_per_second": 5.538,
         | 
| 713 | 
            +
                  "step": 36000
         | 
| 714 | 
            +
                },
         | 
| 715 | 
            +
                {
         | 
| 716 | 
            +
                  "epoch": 10.141706029452626,
         | 
| 717 | 
            +
                  "grad_norm": 0.8843297958374023,
         | 
| 718 | 
            +
                  "learning_rate": 0.00046209132166342504,
         | 
| 719 | 
            +
                  "loss": 0.1509,
         | 
| 720 | 
            +
                  "step": 36500
         | 
| 721 | 
            +
                },
         | 
| 722 | 
            +
                {
         | 
| 723 | 
            +
                  "epoch": 10.28063350930814,
         | 
| 724 | 
            +
                  "grad_norm": 0.6324813961982727,
         | 
| 725 | 
            +
                  "learning_rate": 0.00045746040566824116,
         | 
| 726 | 
            +
                  "loss": 0.1526,
         | 
| 727 | 
            +
                  "step": 37000
         | 
| 728 | 
            +
                },
         | 
| 729 | 
            +
                {
         | 
| 730 | 
            +
                  "epoch": 10.402889691580995,
         | 
| 731 | 
            +
                  "eval_loss": 0.1883215308189392,
         | 
| 732 | 
            +
                  "eval_runtime": 5.7012,
         | 
| 733 | 
            +
                  "eval_samples_per_second": 87.701,
         | 
| 734 | 
            +
                  "eval_steps_per_second": 5.613,
         | 
| 735 | 
            +
                  "step": 37440
         | 
| 736 | 
            +
                },
         | 
| 737 | 
            +
                {
         | 
| 738 | 
            +
                  "epoch": 10.419560989163656,
         | 
| 739 | 
            +
                  "grad_norm": 0.7793643474578857,
         | 
| 740 | 
            +
                  "learning_rate": 0.00045282948967305734,
         | 
| 741 | 
            +
                  "loss": 0.1548,
         | 
| 742 | 
            +
                  "step": 37500
         | 
| 743 | 
            +
                },
         | 
| 744 | 
            +
                {
         | 
| 745 | 
            +
                  "epoch": 10.558488469019172,
         | 
| 746 | 
            +
                  "grad_norm": 0.7698658108711243,
         | 
| 747 | 
            +
                  "learning_rate": 0.0004481985736778735,
         | 
| 748 | 
            +
                  "loss": 0.1528,
         | 
| 749 | 
            +
                  "step": 38000
         | 
| 750 | 
            +
                },
         | 
| 751 | 
            +
                {
         | 
| 752 | 
            +
                  "epoch": 10.697415948874687,
         | 
| 753 | 
            +
                  "grad_norm": 0.8198125958442688,
         | 
| 754 | 
            +
                  "learning_rate": 0.0004435676576826897,
         | 
| 755 | 
            +
                  "loss": 0.1545,
         | 
| 756 | 
            +
                  "step": 38500
         | 
| 757 | 
            +
                },
         | 
| 758 | 
            +
                {
         | 
| 759 | 
            +
                  "epoch": 10.803000833564878,
         | 
| 760 | 
            +
                  "eval_loss": 0.18633407354354858,
         | 
| 761 | 
            +
                  "eval_runtime": 5.7061,
         | 
| 762 | 
            +
                  "eval_samples_per_second": 87.626,
         | 
| 763 | 
            +
                  "eval_steps_per_second": 5.608,
         | 
| 764 | 
            +
                  "step": 38880
         | 
| 765 | 
            +
                },
         | 
| 766 | 
            +
                {
         | 
| 767 | 
            +
                  "epoch": 10.836343428730203,
         | 
| 768 | 
            +
                  "grad_norm": 0.6395444273948669,
         | 
| 769 | 
            +
                  "learning_rate": 0.0004389367416875058,
         | 
| 770 | 
            +
                  "loss": 0.1565,
         | 
| 771 | 
            +
                  "step": 39000
         | 
| 772 | 
            +
                },
         | 
| 773 | 
            +
                {
         | 
| 774 | 
            +
                  "epoch": 10.975270908585719,
         | 
| 775 | 
            +
                  "grad_norm": 0.6487806439399719,
         | 
| 776 | 
            +
                  "learning_rate": 0.000434305825692322,
         | 
| 777 | 
            +
                  "loss": 0.1553,
         | 
| 778 | 
            +
                  "step": 39500
         | 
| 779 | 
            +
                }
         | 
| 780 | 
            +
              ],
         | 
| 781 | 
            +
              "logging_steps": 500,
         | 
| 782 | 
            +
              "max_steps": 86376,
         | 
| 783 | 
            +
              "num_input_tokens_seen": 0,
         | 
| 784 | 
            +
              "num_train_epochs": 24,
         | 
| 785 | 
            +
              "save_steps": 500,
         | 
| 786 | 
            +
              "stateful_callbacks": {
         | 
| 787 | 
            +
                "TrainerControl": {
         | 
| 788 | 
            +
                  "args": {
         | 
| 789 | 
            +
                    "should_epoch_stop": false,
         | 
| 790 | 
            +
                    "should_evaluate": false,
         | 
| 791 | 
            +
                    "should_log": false,
         | 
| 792 | 
            +
                    "should_save": true,
         | 
| 793 | 
            +
                    "should_training_stop": false
         | 
| 794 | 
            +
                  },
         | 
| 795 | 
            +
                  "attributes": {}
         | 
| 796 | 
            +
                }
         | 
| 797 | 
            +
              },
         | 
| 798 | 
            +
              "total_flos": 1.9790594945329398e+18,
         | 
| 799 | 
            +
              "train_batch_size": 2,
         | 
| 800 | 
            +
              "trial_name": null,
         | 
| 801 | 
            +
              "trial_params": null
         | 
| 802 | 
            +
            }
         | 
    	
        checkpoint-39589/training_args.bin
    ADDED
    
    | @@ -0,0 +1,3 @@ | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            version https://git-lfs.github.com/spec/v1
         | 
| 2 | 
            +
            oid sha256:20f04554acd1689dfcf765ddfc83593c217e6ad8c0837409b2e0544a3f5759a0
         | 
| 3 | 
            +
            size 5496
         |