Upload checkpoint-6350

.gitattributes

@@ -43,3 +43,4 @@ checkpoints/checkpoint-4500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 checkpoints/checkpoint-5000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 checkpoints/checkpoint-5500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 checkpoints/checkpoint-6000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoints/checkpoint-6350/tokenizer.json filter=lfs diff=lfs merge=lfs -text

checkpoints/checkpoint-6350/README.md

@@ -0,0 +1,210 @@
+---
+base_model: unsloth/pixtral-12b-2409-unsloth-bnb-4bit
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:unsloth/pixtral-12b-2409-unsloth-bnb-4bit
+- lora
+- sft
+- transformers
+- trl
+- unsloth
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- 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. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1

checkpoints/checkpoint-6350/adapter_config.json

@@ -0,0 +1,50 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "LlavaForConditionalGeneration",
+    "parent_library": "transformers.models.llava.modeling_llava",
+    "unsloth_fixed": true
+  },
+  "base_model_name_or_path": "unsloth/pixtral-12b-2409-unsloth-bnb-4bit",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "q_proj",
+    "down_proj",
+    "up_proj",
+    "v_proj",
+    "gate_proj",
+    "k_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

checkpoints/checkpoint-6350/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1ab77233fb33a91ec95dff3d0be9b902a252c16c370a28803b952ced0f2dc84a
+size 528621360

checkpoints/checkpoint-6350/chat_template.jinja

@@ -0,0 +1,38 @@
+{%- if messages[0]['role'] == 'system' %}
+    {%- set system_message = messages[0]['content'] %}
+    {%- set loop_messages = messages[1:] %}
+{%- else %}
+    {%- set loop_messages = messages %}
+{%- endif %}
+
+{{- bos_token }}
+{%- for message in loop_messages %}
+    {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}
+        {{- raise_exception('After the optional system message, conversation roles must alternate user/assistant/user/assistant/...') }}
+    {%- endif %}
+    {%- if message['role'] == 'user' %}
+        {%- if loop.last and system_message is defined %}
+            {{- '[INST]' + system_message + '\n\n' }}
+        {%- else %}
+            {{- '[INST]' }}
+        {%- endif %}
+        {%- if message['content'] is not string %}
+            {%- for chunk in message['content'] %}
+                {%- if chunk['type'] == 'text' %}
+                    {{- chunk['text'] }}
+                {%- elif chunk['type'] == 'image' %}
+                    {{- '[IMG]' }}
+                {%- else %}
+                    {{- raise_exception('Unrecognized content type!') }}
+                {%- endif %}
+            {%- endfor %}
+        {%- else %}
+            {{- message['content'] }}
+        {%- endif %}
+        {{- '[/INST]' }}
+    {%- elif message['role'] == 'assistant' %}
+        {{- message['content'][0]['text'] + eos_token}}
+    {%- else %}
+        {{- raise_exception('Only user and assistant roles are supported, with the exception of an initial optional system message!') }}
+    {%- endif %}
+{%- endfor %}

checkpoints/checkpoint-6350/processor_config.json

@@ -0,0 +1,34 @@
+{
+  "image_break_token": "[IMG_BREAK]",
+  "image_end_token": "[IMG_END]",
+  "image_processor": {
+    "do_convert_rgb": true,
+    "do_normalize": true,
+    "do_rescale": true,
+    "do_resize": true,
+    "image_mean": [
+      0.48145466,
+      0.4578275,
+      0.40821073
+    ],
+    "image_processor_type": "PixtralImageProcessor",
+    "image_std": [
+      0.26862954,
+      0.26130258,
+      0.27577711
+    ],
+    "patch_size": {
+      "height": 16,
+      "width": 16
+    },
+    "resample": 3,
+    "rescale_factor": 0.00392156862745098,
+    "size": {
+      "longest_edge": 1024
+    }
+  },
+  "image_token": "[IMG]",
+  "patch_size": 16,
+  "processor_class": "PixtralProcessor",
+  "spatial_merge_size": 1
+}

checkpoints/checkpoint-6350/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:84f33e6f52b2833e8cc17229af8eea363f640a898f19a48184a2c7f6f5a88337
+size 17077329

checkpoints/checkpoint-6350/tokenizer_config.json

@@ -0,0 +1,13 @@
+{
+  "backend": "tokenizers",
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "is_local": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "padding_side": "right",
+  "processor_class": "PixtralProcessor",
+  "tokenizer_class": "TokenizersBackend",
+  "unk_token": "<unk>"
+}

checkpoints/checkpoint-6350/trainer_state.json

@@ -0,0 +1,475 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 5.0,
+  "eval_steps": 1000,
+  "global_step": 6350,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.07874015748031496,
+      "grad_norm": 0.05507330223917961,
+      "learning_rate": 9.900000000000002e-06,
+      "loss": 0.166127986907959,
+      "step": 100
+    },
+    {
+      "epoch": 0.15748031496062992,
+      "grad_norm": 0.008706409484148026,
+      "learning_rate": 1.9900000000000003e-05,
+      "loss": 0.15728297233581542,
+      "step": 200
+    },
+    {
+      "epoch": 0.23622047244094488,
+      "grad_norm": 0.017581533640623093,
+      "learning_rate": 2.9900000000000002e-05,
+      "loss": 0.1553855800628662,
+      "step": 300
+    },
+    {
+      "epoch": 0.31496062992125984,
+      "grad_norm": 0.004112571943551302,
+      "learning_rate": 3.99e-05,
+      "loss": 0.155762243270874,
+      "step": 400
+    },
+    {
+      "epoch": 0.3937007874015748,
+      "grad_norm": 0.04493516683578491,
+      "learning_rate": 4.99e-05,
+      "loss": 0.1555478858947754,
+      "step": 500
+    },
+    {
+      "epoch": 0.47244094488188976,
+      "grad_norm": 0.004779973067343235,
+      "learning_rate": 5.99e-05,
+      "loss": 0.1550559425354004,
+      "step": 600
+    },
+    {
+      "epoch": 0.5511811023622047,
+      "grad_norm": 0.0025445641949772835,
+      "learning_rate": 6.99e-05,
+      "loss": 0.15553024291992187,
+      "step": 700
+    },
+    {
+      "epoch": 0.6299212598425197,
+      "grad_norm": 0.03906739875674248,
+      "learning_rate": 7.99e-05,
+      "loss": 0.15486507415771483,
+      "step": 800
+    },
+    {
+      "epoch": 0.7086614173228346,
+      "grad_norm": 0.02913462556898594,
+      "learning_rate": 8.99e-05,
+      "loss": 0.16174968719482422,
+      "step": 900
+    },
+    {
+      "epoch": 0.7874015748031497,
+      "grad_norm": 0.012543833814561367,
+      "learning_rate": 9.99e-05,
+      "loss": 0.1572517204284668,
+      "step": 1000
+    },
+    {
+      "epoch": 0.8661417322834646,
+      "grad_norm": 0.01454182993620634,
+      "learning_rate": 9.991553432350282e-05,
+      "loss": 0.15745045661926269,
+      "step": 1100
+    },
+    {
+      "epoch": 0.9448818897637795,
+      "grad_norm": 0.0023696678690612316,
+      "learning_rate": 9.965900808011088e-05,
+      "loss": 0.15643728256225586,
+      "step": 1200
+    },
+    {
+      "epoch": 1.0236220472440944,
+      "grad_norm": 0.025821439921855927,
+      "learning_rate": 9.9231296948433e-05,
+      "loss": 0.1554923439025879,
+      "step": 1300
+    },
+    {
+      "epoch": 1.1023622047244095,
+      "grad_norm": 0.04556797072291374,
+      "learning_rate": 9.863387533734539e-05,
+      "loss": 0.15434089660644532,
+      "step": 1400
+    },
+    {
+      "epoch": 1.1811023622047245,
+      "grad_norm": 0.04990844428539276,
+      "learning_rate": 9.786880268290417e-05,
+      "loss": 0.15648181915283202,
+      "step": 1500
+    },
+    {
+      "epoch": 1.2598425196850394,
+      "grad_norm": 0.006857115309685469,
+      "learning_rate": 9.693871634904281e-05,
+      "loss": 0.15545827865600587,
+      "step": 1600
+    },
+    {
+      "epoch": 1.3385826771653544,
+      "grad_norm": 0.0028322746511548758,
+      "learning_rate": 9.584682253603221e-05,
+      "loss": 0.1543470287322998,
+      "step": 1700
+    },
+    {
+      "epoch": 1.4173228346456692,
+      "grad_norm": 0.19367800652980804,
+      "learning_rate": 9.459688522804413e-05,
+      "loss": 0.15462760925292968,
+      "step": 1800
+    },
+    {
+      "epoch": 1.4960629921259843,
+      "grad_norm": 0.008687643334269524,
+      "learning_rate": 9.31932132179181e-05,
+      "loss": 0.15522689819335939,
+      "step": 1900
+    },
+    {
+      "epoch": 1.574803149606299,
+      "grad_norm": 0.0021422242280095816,
+      "learning_rate": 9.164064525385975e-05,
+      "loss": 0.15503698348999023,
+      "step": 2000
+    },
+    {
+      "epoch": 1.6535433070866141,
+      "grad_norm": 0.04556899890303612,
+      "learning_rate": 8.994453335927354e-05,
+      "loss": 0.15466382026672362,
+      "step": 2100
+    },
+    {
+      "epoch": 1.7322834645669292,
+      "grad_norm": 0.0013071871362626553,
+      "learning_rate": 8.811072438322911e-05,
+      "loss": 0.15389209747314453,
+      "step": 2200
+    },
+    {
+      "epoch": 1.811023622047244,
+      "grad_norm": 0.10087304562330246,
+      "learning_rate": 8.614553984516152e-05,
+      "loss": 0.1543412208557129,
+      "step": 2300
+    },
+    {
+      "epoch": 1.889763779527559,
+      "grad_norm": 0.004201154690235853,
+      "learning_rate": 8.405575414328399e-05,
+      "loss": 0.15336153984069825,
+      "step": 2400
+    },
+    {
+      "epoch": 1.968503937007874,
+      "grad_norm": 0.007316004950553179,
+      "learning_rate": 8.184857120183401e-05,
+      "loss": 0.15410717010498046,
+      "step": 2500
+    },
+    {
+      "epoch": 2.047244094488189,
+      "grad_norm": 0.0018114798003807664,
+      "learning_rate": 7.953159963765406e-05,
+      "loss": 0.15383917808532716,
+      "step": 2600
+    },
+    {
+      "epoch": 2.1259842519685037,
+      "grad_norm": 0.018307369202375412,
+      "learning_rate": 7.711282653171312e-05,
+      "loss": 0.15257465362548828,
+      "step": 2700
+    },
+    {
+      "epoch": 2.204724409448819,
+      "grad_norm": 0.006079078186303377,
+      "learning_rate": 7.460058989598401e-05,
+      "loss": 0.15322593688964845,
+      "step": 2800
+    },
+    {
+      "epoch": 2.283464566929134,
+      "grad_norm": 0.031053705140948296,
+      "learning_rate": 7.200354993058876e-05,
+      "loss": 0.1529918670654297,
+      "step": 2900
+    },
+    {
+      "epoch": 2.362204724409449,
+      "grad_norm": 0.014423035085201263,
+      "learning_rate": 6.933065917029473e-05,
+      "loss": 0.15332060813903808,
+      "step": 3000
+    },
+    {
+      "epoch": 2.440944881889764,
+      "grad_norm": 0.011503088288009167,
+      "learning_rate": 6.659113162327264e-05,
+      "loss": 0.15312715530395507,
+      "step": 3100
+    },
+    {
+      "epoch": 2.5196850393700787,
+      "grad_norm": 0.0077222236432135105,
+      "learning_rate": 6.379441100850171e-05,
+      "loss": 0.1527255630493164,
+      "step": 3200
+    },
+    {
+      "epoch": 2.5984251968503935,
+      "grad_norm": 0.0016469687689095736,
+      "learning_rate": 6.095013820131382e-05,
+      "loss": 0.15350957870483398,
+      "step": 3300
+    },
+    {
+      "epoch": 2.677165354330709,
+      "grad_norm": 0.0019288088660687208,
+      "learning_rate": 5.8068117999299134e-05,
+      "loss": 0.15306456565856932,
+      "step": 3400
+    },
+    {
+      "epoch": 2.7559055118110236,
+      "grad_norm": 0.00467046769335866,
+      "learning_rate": 5.515828532313756e-05,
+      "loss": 0.1530474281311035,
+      "step": 3500
+    },
+    {
+      "epoch": 2.8346456692913384,
+      "grad_norm": 0.0007864160579629242,
+      "learning_rate": 5.22306709688691e-05,
+      "loss": 0.15343090057373046,
+      "step": 3600
+    },
+    {
+      "epoch": 2.9133858267716537,
+      "grad_norm": 0.000985587714239955,
+      "learning_rate": 4.929536702966183e-05,
+      "loss": 0.15314886093139649,
+      "step": 3700
+    },
+    {
+      "epoch": 2.9921259842519685,
+      "grad_norm": 0.005071382503956556,
+      "learning_rate": 4.636249210627616e-05,
+      "loss": 0.1534656047821045,
+      "step": 3800
+    },
+    {
+      "epoch": 3.0708661417322833,
+      "grad_norm": 0.0019745775498449802,
+      "learning_rate": 4.344215642615166e-05,
+      "loss": 0.1520760440826416,
+      "step": 3900
+    },
+    {
+      "epoch": 3.1496062992125986,
+      "grad_norm": 0.0005789928254671395,
+      "learning_rate": 4.054442699135883e-05,
+      "loss": 0.1525840950012207,
+      "step": 4000
+    },
+    {
+      "epoch": 3.2283464566929134,
+      "grad_norm": 0.0012340015964582562,
+      "learning_rate": 3.7679292875557305e-05,
+      "loss": 0.15281296730041505,
+      "step": 4100
+    },
+    {
+      "epoch": 3.3070866141732282,
+      "grad_norm": 0.0013747382909059525,
+      "learning_rate": 3.4856630789589703e-05,
+      "loss": 0.15274640083312988,
+      "step": 4200
+    },
+    {
+      "epoch": 3.3858267716535435,
+      "grad_norm": 0.001125828130170703,
+      "learning_rate": 3.208617103441321e-05,
+      "loss": 0.15302160263061523,
+      "step": 4300
+    },
+    {
+      "epoch": 3.4645669291338583,
+      "grad_norm": 0.0012245842954143882,
+      "learning_rate": 2.9377463958736484e-05,
+      "loss": 0.15275227546691894,
+      "step": 4400
+    },
+    {
+      "epoch": 3.543307086614173,
+      "grad_norm": 0.0006308159790933132,
+      "learning_rate": 2.6739847036989146e-05,
+      "loss": 0.15195068359375,
+      "step": 4500
+    },
+    {
+      "epoch": 3.622047244094488,
+      "grad_norm": 0.0011695600114762783,
+      "learning_rate": 2.4182412681113098e-05,
+      "loss": 0.1518103790283203,
+      "step": 4600
+    },
+    {
+      "epoch": 3.7007874015748032,
+      "grad_norm": 0.000881047104485333,
+      "learning_rate": 2.1713976897134936e-05,
+      "loss": 0.15294142723083495,
+      "step": 4700
+    },
+    {
+      "epoch": 3.779527559055118,
+      "grad_norm": 0.0006472237873822451,
+      "learning_rate": 1.9343048894566856e-05,
+      "loss": 0.15277278900146485,
+      "step": 4800
+    },
+    {
+      "epoch": 3.8582677165354333,
+      "grad_norm": 0.0006279984954744577,
+      "learning_rate": 1.7077801753398676e-05,
+      "loss": 0.15199377059936522,
+      "step": 4900
+    },
+    {
+      "epoch": 3.937007874015748,
+      "grad_norm": 0.0010052917059510946,
+      "learning_rate": 1.4926044249797949e-05,
+      "loss": 0.15254390716552735,
+      "step": 5000
+    },
+    {
+      "epoch": 4.015748031496063,
+      "grad_norm": 0.0009756973595358431,
+      "learning_rate": 1.289519393764087e-05,
+      "loss": 0.1520907211303711,
+      "step": 5100
+    },
+    {
+      "epoch": 4.094488188976378,
+      "grad_norm": 0.00026961855473928154,
+      "learning_rate": 1.0992251578667411e-05,
+      "loss": 0.15179637908935548,
+      "step": 5200
+    },
+    {
+      "epoch": 4.173228346456693,
+      "grad_norm": 0.0006781400879845023,
+      "learning_rate": 9.22377700940531e-06,
+      "loss": 0.15223078727722167,
+      "step": 5300
+    },
+    {
+      "epoch": 4.251968503937007,
+      "grad_norm": 0.0003553588467184454,
+      "learning_rate": 7.5958665280546236e-06,
+      "loss": 0.1526631546020508,
+      "step": 5400
+    },
+    {
+      "epoch": 4.330708661417323,
+      "grad_norm": 0.00202592252753675,
+      "learning_rate": 6.114131879284929e-06,
+      "loss": 0.15225015640258788,
+      "step": 5500
+    },
+    {
+      "epoch": 4.409448818897638,
+      "grad_norm": 0.0012375584337860346,
+      "learning_rate": 4.783680909388883e-06,
+      "loss": 0.15234428405761719,
+      "step": 5600
+    },
+    {
+      "epoch": 4.488188976377953,
+      "grad_norm": 0.0011990447528660297,
+      "learning_rate": 3.609099958477902e-06,
+      "loss": 0.1524246311187744,
+      "step": 5700
+    },
+    {
+      "epoch": 4.566929133858268,
+      "grad_norm": 0.001070875907316804,
+      "learning_rate": 2.5944380504177192e-06,
+      "loss": 0.15228199005126952,
+      "step": 5800
+    },
+    {
+      "epoch": 4.645669291338582,
+      "grad_norm": 0.0007252432405948639,
+      "learning_rate": 1.743192935004273e-06,
+      "loss": 0.15215202331542968,
+      "step": 5900
+    },
+    {
+      "epoch": 4.724409448818898,
+      "grad_norm": 0.00032631674548611045,
+      "learning_rate": 1.0582990304956076e-06,
+      "loss": 0.15202163696289062,
+      "step": 6000
+    },
+    {
+      "epoch": 4.803149606299213,
+      "grad_norm": 0.014533791691064835,
+      "learning_rate": 5.421173080641939e-07,
+      "loss": 0.1524055290222168,
+      "step": 6100
+    },
+    {
+      "epoch": 4.881889763779528,
+      "grad_norm": 0.0006557075539603829,
+      "learning_rate": 1.9642715304022397e-07,
+      "loss": 0.15239876747131348,
+      "step": 6200
+    },
+    {
+      "epoch": 4.960629921259843,
+      "grad_norm": 0.0007927146507427096,
+      "learning_rate": 2.2420231001757387e-08,
+      "loss": 0.15218684196472168,
+      "step": 6300
+    }
+  ],
+  "logging_steps": 100,
+  "max_steps": 6350,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 5,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.6542323519174738e+18,
+  "train_batch_size": 4,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoints/checkpoint-6350/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:279d2fc6d728eea98c509c97349451eab882bc458eceabbf3a23536fc7ab226a
+size 5841